Thomas Bäck - RankMe

555 papers A* 2A 64B 52C 24Misc 5Journal 224Unranked 169

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hierarchical partially observable Markov decision process framework for tunnel boring machine trajectory navigation. Eng. Appl. Artif. Intell. Xiaohan Wei, Qing Zhang, Thomas Bäck, Hao Wang
2026	J	`jnl`	Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives. CoRR Wei Liu, Yaoxin Wu, Yingqian Zhang, Thomas Bäck, Yingjie Fan
2026	J	`jnl`	Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment. CoRR Francesca Da Ros, Tarik Zaciragic, Aske Plaat, Thomas Bäck, Niki van Stein
2026	J	`jnl`	Bridging Racial and Age Gaps in Face Recognition: A Data-Augmentation Framework for Fair AI. SN Comput. Sci. Sofoklis Kitharidis, Anthonie Schaap, Thomas Bäck, Niki van Stein
2026	A*	`conf`	Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Stochastic Multi-Objective Optimisation. AAAI Robin van der Laag, Hao Wang, Thomas Bäck, Yingjie Fan
2026	J	`jnl`	From Heuristic Selection to Automated Algorithm Design: LLMs Benefit from Strong Priors. CoRR Qi Huang, Furong Ye, Ananta Shahane, Thomas Bäck, Niki van Stein
2026	J	`jnl`	How does downsampling affect needle electromyography signals? A generalisable workflow for understanding downsampling effects on high-frequency time series. CoRR Mathieu Cherpitel, Janne Luijten, Thomas Bäck, Camiel Verhamme, Martijn Tannemaat, Anna V. Kononova
2026	J	`jnl`	Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study. CoRR Jelle Westra, Iván Olarte Rodríguez, Niki van Stein, Thomas Bäck, Elena Raponi
2026	J	`jnl`	LLM Driven Design of Continuous Optimization Problems with Controllable High-level Properties. CoRR Urban Skvorc, Niki van Stein, Moritz Seiler, Britta Grimme, Thomas Bäck, Heike Trautmann
2026	J	`jnl`	LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI. CoRR Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck
2026	J	`jnl`	Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization. CoRR Haoran Yin, Shuaiqun Pan, Zhao Wei, Jian Cheng Wong, Yew-Soon Ong, Anna V. Kononova, Thomas Bäck, Niki van Stein
2026	J	`jnl`	MuViS: Multimodal Virtual Sensing Benchmark. CoRR Jens Uwe Brandt, Noah Christoph Pütz, Jobel Jose George, Niharika Vinay Kumar, Elena Raponi, Marc Hilbert, Thomas Bäck, Thomas Bartz-Beielstein
2026	J	`jnl`	Multi-Agent Influence Diagrams to Hybrid Threat Modeling. CoRR Maarten C. Vonk, Anna V. Kononova, Thomas Bäck, Tim Sweijs
2026	J	`jnl`	Multi-Step Reasoning with Large Language Models, a Survey. ACM Comput. Surv. Aske Plaat, Annie Wong, Suzan Verberne, Joost Broekens, Niki van Stein, Thomas Bäck
2026	J	`jnl`	Optimization is Not Enough: Why Problem Formulation Deserves Equal Attention. CoRR Iván Olarte Rodríguez, Gokhan Serhat, Mariusz Bujny, Fabian Duddeck, Thomas Bäck, Elena Raponi
2026	J	`jnl`	State Design Matters: How Representations Shape Dynamic Reasoning in Large Language Models. CoRR Annie Wong, Aske Plaat, Thomas Bäck, Niki van Stein, Anna V. Kononova
2026	J	`jnl`	State Design Matters: How Representations Shape Dynamic Reasoning in Large Language Models. Trans. Mach. Learn. Res. Annie Wong, Aske Plaat, Thomas Bäck, Niki van Stein, Anna V. Kononova
2026	J	`jnl`	Structural bias in multi-objective optimisation. CoRR Jakub Kudela, Niki van Stein, Thomas Bäck, Anna V. Kononova
2025	J	`jnl`	A Mesh Is Worth 512 Numbers: Spectral-domain Diffusion Modeling for High-dimension Shape Generation. CoRR Jiajie Fan, Amal Trigui, Andrea Bonfanti, Felix Dietrich, Thomas Bäck, Hao Wang
2025	J	`jnl`	A Multi-Form Optimization Framework for Analog Integrated Circuit Sizing. IEEE Trans. Circuits Syst. I Regul. Pap. Chen Chen, Hongyi Wang, Feng Liang, Thomas Bäck, Hao Wang
2025	A	`conf`	Abnormal Mutations: Evolution Strategies Don't Require Gaussianity. GECCO Jacob de Nobel, Diederick Vermetten, Hao Wang, Anna V. Kononova, Günter Rudolph, Thomas Bäck
2025	J	`jnl`	Abnormal Mutations: Evolution Strategies Don't Require Gaussianity. CoRR Jacob de Nobel, Diederick Vermetten, Hao Wang, Anna V. Kononova, Günter Rudolph, Thomas Bäck
2025	J	`jnl`	An Alignment Method and a Dissimilarity Measure for 3D Building Spatial Designs. IEEE Access Ksenia Pereverdieva, Michael Emmerich, André H. Deutz, Hèrm Hofmeyer, Tessa Ezendam, Thomas Bäck
2025	—	`conf`	BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics. GECCO Companion Niki van Stein, Anna V. Kononova, Haoran Yin, Thomas Bäck
2025	J	`jnl`	BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics. CoRR Niki van Stein, Anna V. Kononova, Haoran Yin, Thomas Bäck
2025	—	`conf`	Behaviour Space Analysis of LLM-Driven Meta-Heuristic Discovery. IJCCI (2) Niki van Stein, Haoran Yin, Anna V. Kononova, Thomas Bäck, Gabriela Ochoa
2025	J	`jnl`	Behaviour Space Analysis of LLM-driven Meta-heuristic Discovery. CoRR Niki van Stein, Haoran Yin, Anna V. Kononova, Thomas Bäck, Gabriela Ochoa
2025	—	`conf`	Benchmarking single- and multi-objective optimization algorithms: how to make your experimental data more valuable. GECCO Companion Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bäck
2025	J	`jnl`	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact. CoRR Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten, Daniela Zaharie
2025	J	`jnl`	Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Multi-Objective Optimisation. CoRR Robin van der Laag, Hao Wang, Thomas Bäck, Yingjie Fan
2025	A	`conf`	Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms. GECCO Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck
2025	J	`jnl`	Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms. CoRR Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bäck
2025	—	`conf`	Comparative Analysis of Indicators for Multi-objective Diversity Optimization. EMO (2) Ksenia Pereverdieva, André H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer, Michael T. M. Emmerich
2025	J	`jnl`	Conference Report on 2025 IEEE Congress on Evolutionary Computation (IEEE CEC 2025) [Conference Reports]. IEEE Comput. Intell. Mag. Yaochu Jin, Thomas Bäck
2025	—	`conf`	Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms. EvoApplications (2) Haoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein
2025	J	`jnl`	Corrigendum to "Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions" [Eng. Appl. Artif. Intell. 138 (2024) 109323]. Eng. Appl. Artif. Intell. Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
2025	J	`jnl`	DQS: A Low-Budget Query Strategy for Enhancing Unsupervised Data-driven Anomaly Detection Approaches. CoRR Lucas Correia, Jan-Christoph Goos, Thomas Bäck, Anna V. Kononova
2025	J	`jnl`	Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions. CoRR Zhong Li, Qi Huang, Lincen Yang, Jiayang Shi, Zhao Yang, Niki van Stein, Thomas Bäck, Matthijs van Leeuwen
2025	B	`conf`	EvoCAD: Evolutionary CAD Code Generation with Vision Language Models. ICTAI Tobias Preintner, Weixuan Yuan, Adrian König, Thomas Bäck, Elena Raponi, Niki van Stein
2025	J	`jnl`	EvoCAD: Evolutionary CAD Code Generation with Vision Language Models. CoRR Tobias Preintner, Weixuan Yuan, Adrian König, Thomas Bäck, Elena Raponi, Niki van Stein
2025	J	`jnl`	Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications. CoRR Dikshit Chauhan, Bapi Dutta, Indu Bala, Niki van Stein, Thomas Bäck, Anupam Yadav
2025	A	`conf`	Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms. GECCO Shuaiqun Pan, Yash J. Patel, Aneta Neumann, Frank Neumann, Thomas Bäck, Hao Wang
2025	J	`jnl`	Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms. CoRR Shuaiqun Pan, Yash J. Patel, Aneta Neumann, Frank Neumann, Thomas Bäck, Hao Wang
2025	—	`conf`	Explainable Benchmarking for Iterative Optimization Heuristics. GECCO Companion Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
2025	J	`jnl`	Explainable Benchmarking for Iterative Optimization Heuristics. ACM Trans. Evol. Learn. Optim. Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
2025	—	`conf`	Feasibility-Driven Trust Region Bayesian Optimization. AutoML Paolo Ascia, Elena Raponi, Thomas Bäck, Fabian Duddeck
2025	J	`jnl`	Feasibility-Driven Trust Region Bayesian Optimization. CoRR Paolo Ascia, Elena Raponi, Thomas Bäck, Fabian Duddeck
2025	J	`jnl`	From Performance to Understanding: A Vision for Explainable Automated Algorithm Design. CoRR Niki van Stein, Anna V. Kononova, Thomas Bäck
2025	B	`conf`	Gradient Free Multi-Objective Counterfactual Explainability for Multivariate Time Series Classification. IEEE Big Data Qi Huang, Sofoklis Kitharidis, Furong Ye, Marius Ottolini, Thomas Bäck, Niki van Stein
2025	J	`jnl`	LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms. CoRR Wenhu Li, Niki van Stein, Thomas Bäck, Elena Raponi
2025	J	`jnl`	LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics. IEEE Trans. Evol. Comput. Niki van Stein, Thomas Bäck
2025	—	`conf`	LLaMEA: Automatically Generating Metaheuristics with Large Language Models. GECCO Companion Niki van Stein, Thomas Bäck
2025	J	`jnl`	Leveraging Lightweight Generators for Memory Efficient Continual Learning. CoRR Christiaan Lamers, Ahmed Nabil Belbachir, Thomas Bäck, Niki van Stein
2025	J	`jnl`	Lognormal Mutations and their Use in Detecting Surreptitious Fake Images. Trans. Mach. Learn. Res. Olivier Teytaud, Mariia Zameshina, Tom Sander, Pierre Fernandez, Furong Ye, Laurent Najman, Thomas Bäck, Ismail Labiad
2025	J	`jnl`	Lost in Vagueness: Towards Context-Sensitive Standards for Robustness Assessment under the EU AI Act. CoRR Roberta Tamponi, Carina Prunkl, Thomas Bäck, Anna V. Kononova
2025	J	`jnl`	MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts. ACM Trans. Evol. Learn. Optim. Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
2025	J	`jnl`	MECHBench: A Set of Black-Box Optimization Benchmarks originated from Structural Mechanics. CoRR Iván Olarte Rodríguez, Maria Laura Santoni, Fabian Duddeck, Carola Doerr, Thomas Bäck, Elena Raponi
2025	—	`conf`	MO-IOHinspector: Anytime Benchmarking of Multi-objective Algorithms Using IOHprofiler. EMO (1) Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, Thomas Bäck
2025	—	`conf`	Mechanistic Interpretability for Transformer-Based Time Series Classification. IJCCI (3) Matiss Kalnare, Sofoklis Kitharidis, Thomas Bäck, Niki van Stein
2025	J	`jnl`	Mechanistic Interpretability for Transformer-based Time Series Classification. CoRR Matiss Kalnare, Sofoklis Kitharidis, Thomas Bäck, Niki van Stein
2025	—	`conf`	Multi-action Sampling with Deep Reinforcement Learning for Traveling Salesman Problem. LION (2) Wei Liu, Thomas Bäck, Yingjie Fan
2025	—	`conf`	Multi-subspace SVD Generators for Continual Learning. IJCCI (3) Christiaan Lamers, Ahmed Nabil Belbachir, Thomas Bäck, Niki van Stein
2025	—	`conf`	Optimization Is Not Enough: Why Problem Formulation Deserves Equal Attention. IJCCI (2) Iván Olarte Rodríguez, Gokhan Serhat, Mariusz Bujny, Fabian Duddeck, Thomas Bäck, Elena Raponi
2025	—	`conf`	Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery. GECCO Companion Haoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein
2025	J	`jnl`	Optimizing Photonic Structures with Large Language Model Driven Algorithm Discovery. CoRR Haoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein
2025	J	`jnl`	PATH: A discrete-sequence dataset for evaluating online unsupervised anomaly detection approaches for multivariate time series. Big Data Res. Lucas Correia, Jan-Christoph Goos, Thomas Bäck, Anna V. Kononova
2025	—	`conf`	Reasoning Capabilities of Large Language Models on Dynamic Tasks. FLLM Annie Wong, Thomas Bäck, Aske Plaat, Niki van Stein, Anna V. Kononova
2025	J	`jnl`	Towards a Deeper Understanding of Reasoning Capabilities in Large Language Models. CoRR Annie Wong, Thomas Bäck, Aske Plaat, Niki van Stein, Anna V. Kononova
2025	B	`conf`	Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks. CEC Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang
2025	J	`jnl`	Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks. CoRR Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang
2025	—	`conf`	Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations. GECCO Companion Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang
2025	J	`jnl`	Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations. CoRR Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang
2025	—	`conf`	Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space. AEQUITAS@ECAI Sofoklis Kitharidis, Cor J. Veenman, Thomas Bäck, Niki van Stein
2025	J	`jnl`	Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space. CoRR Sofoklis Kitharidis, Cor J. Veenman, Thomas Bäck, Niki van Stein
2025	B	`conf`	Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects. IJCNN Tobias Preintner, Weixuan Yuan, Qi Huang, Adrian König, Thomas Bäck, Elena Raponi, Niki van Stein
2025	J	`jnl`	Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects. CoRR Tobias Preintner, Weixuan Yuan, Qi Huang, Adrian König, Thomas Bäck, Elena Raponi, Niki van Stein
2024	—	`conf`	A Critical Analysis of Raven Roost Optimization. GECCO Companion Martijn Halsema, Diederick Vermetten, Thomas Bäck, Niki van Stein
2024	J	`jnl`	A Dataset for Evaluating Online Anomaly Detection Approaches for Discrete Multivariate Time Series. CoRR Lucas Correia, Jan-Christoph Goos, Thomas Bäck, Anna V. Kononova
2024	A	`conf`	A Functional Analysis Approach to Symbolic Regression. GECCO Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
2024	J	`jnl`	A Functional Analysis Approach to Symbolic Regression. CoRR Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein, Anna V. Kononova
2024	—	`conf`	Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis. CAI Jiajie Fan, Laure Vuaille, Thomas Bäck, Hao Wang
2024	J	`jnl`	Automated Federated Learning via Informed Pruning. CoRR Christian Internò, Elena Raponi, Niki van Stein, Thomas Bäck, Markus Olhofer, Yaochu Jin, Barbara Hammer
2024	J	`jnl`	Automated machine learning: past, present and future. Artif. Intell. Rev. Mitra Baratchi, Can Wang, Steffen Limmer, Jan N. van Rijn, Holger H. Hoos, Thomas Bäck, Markus Olhofer
2024	—	`conf`	Avoiding Redundant Restarts in Multimodal Global Optimization. PPSN (2) Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck
2024	J	`jnl`	Avoiding Redundant Restarts in Multimodal Global Optimization. CoRR Jacob de Nobel, Diederick Vermetten, Anna V. Kononova, Ofer M. Shir, Thomas Bäck
2024	—	`conf`	Balancing Computational Cost and Accuracy in Inference of Continuous Bayesian Networks. PGM Maarten C. Vonk, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, Alfons Laarman, Anna V. Kononova
2024	—	`conf`	Benchmarking and Analyzing Iterative Optimization Heuristics with IOHprofiler. GECCO Companion Carola Doerr, Diederick Vermetten, Jacob de Nobel, Thomas Bäck
2024	A	`conf`	CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming. GECCO Roman Kalkreuth, Thomas Bäck
2024	J	`jnl`	CGP++ : A Modern C++ Implementation of Cartesian Genetic Programming. CoRR Roman Kalkreuth, Thomas Bäck
2024	B	`conf`	Cluster-Centric Local Search Strategies for Enhanced Multi-Objective Logistics Optimization. CEC Wei Liu, Thomas Bäck, Yingjie Fan
2024	J	`jnl`	Comparative Analysis of Indicators for Multiobjective Diversity Optimization. CoRR Ksenia Pereverdieva, André H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer, Michael T. M. Emmerich
2024	J	`jnl`	Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms. CoRR Haoran Yin, Anna V. Kononova, Thomas Bäck, Niki van Stein
2024	—	`conf`	Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler. PPSN (2) Diederick Vermetten, Johannes Lengler, Dimitri Rusin, Thomas Bäck, Carola Doerr
2024	J	`jnl`	Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler. CoRR Diederick Vermetten, Johannes Lengler, Dimitri Rusin, Thomas Bäck, Carola Doerr
2024	—	`conf`	Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder. ECCV (78) Jiajie Fan, Amal Trigui, Thomas Bäck, Hao Wang
2024	J	`jnl`	Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder. CoRR Jiajie Fan, Amal Trigui, Thomas Bäck, Hao Wang
2024	A	`conf`	Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem. GECCO Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bäck, Frank Neumann
2024	J	`jnl`	Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem. CoRR Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bäck, Frank Neumann
2024	J	`jnl`	Explainable Benchmarking for Iterative Optimization Heuristics. CoRR Niki van Stein, Diederick Vermetten, Anna V. Kononova, Thomas Bäck
2024	J	`jnl`	Generating Cheap Representative Functions for Expensive Automotive Crashworthiness Optimization. ACM Trans. Evol. Learn. Optim. Fu Xing Long, Bas van Stein, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck
2024	—	`conf`	Hot off the Press: Parallel Multi-Objective Optimization for Expensive and Inexpensive Objectives and Constraints. GECCO Companion Roy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb
2024	J	`jnl`	Hyperparameter importance and optimization of quantum neural networks across small datasets. Mach. Learn. Charles Moussa, Yash J. Patel, Vedran Dunjko, Thomas Bäck, Jan N. van Rijn
2024	J	`jnl`	IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. Evol. Comput. Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2024	J	`jnl`	In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics. CoRR Niki van Stein, Diederick Vermetten, Thomas Bäck
2024	J	`jnl`	LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics. CoRR Niki van Stein, Thomas Bäck
2024	—	`conf`	Landscape-Aware Automated Algorithm Configuration Using Multi-output Mixed Regression and Classification. PPSN (2) Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck, Niki van Stein
2024	J	`jnl`	Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification. CoRR Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck, Niki van Stein
2024	A	`conf`	Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics. GECCO Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
2024	J	`jnl`	Large-scale Benchmarking of Metaphor-based Optimization Heuristics. CoRR Diederick Vermetten, Carola Doerr, Hao Wang, Anna V. Kononova, Thomas Bäck
2024	J	`jnl`	Log-normal Mutations and their Use in Detecting Surreptitious Fake Images. CoRR Ismail Labiad, Thomas Bäck, Pierre Fernandez, Laurent Najman, Tom Sander, Furong Ye, Mariia Zameshina, Olivier Teytaud
2024	J	`jnl`	MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler. CoRR Diederick Vermetten, Jeroen Rook, Oliver Ludger Preuß, Jacob de Nobel, Carola Doerr, Manuel López-Ibáñez, Heike Trautmann, Thomas Bäck
2024	—	`conf`	Modular Optimization Framework for Mixed Expensive and Inexpensive Real-World Problems. GECCO Companion Roy de Winter, Thomas Bäck, Niki van Stein
2024	J	`jnl`	NeuroNURBS: Learning Efficient Surface Representations for 3D Solids. CoRR Jiajie Fan, Babak Gholami, Thomas Bäck, Hao Wang
2024	J	`jnl`	Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future Directions. CoRR Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
2024	J	`jnl`	Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions. Eng. Appl. Artif. Intell. Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
2024	—	`conf`	Optimizing Causal Interventions in Hybrid Bayesian Networks - A Discretization, Knowledge Compilation, and Heuristic Optimization Approach. IPMU (1) Maarten C. Vonk, Diederick Vermetten, Jacob de Nobel, Sebastiaan Brand, Ninoslav Malekovic, Thomas Bäck, Alfons Laarman, Anna V. Kononova
2024	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I PPSN (1) Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck
2024	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II PPSN (2) Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck
2024	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III PPSN (3) Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck
2024	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV PPSN (4) Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck
2024	J	`jnl`	Parallel multi-objective optimization for expensive and inexpensive objectives and constraints. Swarm Evol. Comput. Roy de Winter, Bas Milatz, Julian Blank, Niki van Stein, Thomas Bäck, Kalyanmoy Deb
2024	J	`jnl`	Reasoning with Large Language Models, a Survey. CoRR Aske Plaat, Annie Wong, Suzan Verberne, Joost Broekens, Niki van Stein, Thomas Bäck
2024	J	`jnl`	Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification. CoRR Qi Huang, Wei Chen, Thomas Bäck, Niki van Stein
2024	J	`jnl`	Solving Deep Reinforcement Learning Benchmarks with Linear Policy Networks. CoRR Annie Wong, Jacob de Nobel, Thomas Bäck, Aske Plaat, Anna V. Kononova
2024	—	`conf`	TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification. EXPLAINS Qi Huang, Sofoklis Kitharidis, Thomas Bäck, Niki van Stein
2024	J	`jnl`	TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification. CoRR Qi Huang, Sofoklis Kitharidis, Thomas Bäck, Niki van Stein
2024	J	`jnl`	TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data. CoRR Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
2024	A	`conf`	Transfer Learning of Surrogate Models via Domain Affine Transformation. GECCO Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang
2024	A	`conf`	What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. GECCO Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck
2023	B	`conf`	A Decision Diagram Operation for Reachability. FM Sebastiaan Brand, Thomas Bäck, Alfons Laarman
2023	J	`jnl`	A data-centric approach to anomaly detection in layer-based additive manufacturing. Autom. Alexander Zeiser, Bekir Özcan, Christoph Kracke, Bas van Stein, Thomas Bäck
2023	—	`conf`	AI for Expensive Optimization Problems in Industry. CAI Niki van Stein, Roy de Winter, Thomas Bäck, Anna V. Kononova
2023	J	`jnl`	Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis. CoRR Jiajie Fan, Laure Vuaille, Hao Wang, Thomas Bäck
2023	—	`conf`	Application of Functional Kernel Hypothesis Testing for Channel Selection in Time Series Classification. CAI Qi Huang, Thomas Bäck, Niki van Stein
2023	Misc	`conf`	Application of quantum-inspired generative models to small molecular datasets. QCE Charles Moussa, Hao Wang, Mauricio Araya-Polo, Thomas Bäck, Vedran Dunjko
2023	J	`jnl`	Application of quantum-inspired generative models to small molecular datasets. CoRR Charles Moussa, Hao Wang, Mauricio Araya-Polo, Thomas Bäck, Vedran Dunjko
2023	Misc	`conf`	Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry. QCE Waheeda Saib, Xavier Bonet-Monroig, Vedran Dunjko, Ivano Tavernelli, Thomas Bäck, Hao Wang
2023	B	`conf`	Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CEC Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
2023	J	`jnl`	Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CoRR Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
2023	—	`conf`	Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. GECCO Companion Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye
2023	C	`conf`	Challenges of ELA-Guided Function Evolution Using Genetic Programming. IJCCI Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
2023	J	`jnl`	Challenges of ELA-guided Function Evolution using Genetic Programming. CoRR Fu Xing Long, Diederick Vermetten, Anna V. Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas Bäck, Niki van Stein
2023	J	`jnl`	Classification-based process parameter recommendation in sheet metal forming. J. Ind. Inf. Integr. Zhengtian Ai, Ingo Heinle, Christian Schelske, Hao Wang, Peter Krause, Thomas Bäck
2023	—	`conf`	Clustering-based Domain-Incremental Learning. ICCV (Workshops) Christiaan Lamers, René Vidal, Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras
2023	J	`jnl`	Clustering-based Domain-Incremental Learning. CoRR Christiaan Lamers, René Vidal, Ahmed Nabil Belbachir, Niki van Stein, Thomas Bäck, Paris Giampouras
2023	J	`jnl`	Controlling Sequential Hybrid Evolutionary Algorithm by Q-Learning [Research Frontier] [Research Frontier]. IEEE Comput. Intell. Mag. Haotian Zhang, Jianyong Sun, Thomas Bäck, Qingfu Zhang, Zongben Xu
2023	A	`conf`	Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations. FOGA Kirill A. Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein
2023	J	`jnl`	Deep multiagent reinforcement learning: challenges and directions. Artif. Intell. Rev. Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat
2023	J	`jnl`	Disentangling causality: assumptions in causal discovery and inference. Artif. Intell. Rev. Maarten C. Vonk, Ninoslav Malekovic, Thomas Bäck, Anna V. Kononova
2023	—	`conf`	DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis. GECCO Companion Bas van Stein, Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck
2023	J	`jnl`	DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis. CoRR Bas van Stein, Fu Xing Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck
2023	J	`jnl`	Dominance-based variable analysis for large-scale multi-objective problems. Nat. Comput. Dani Irawan, Boris Naujoks, Thomas Bäck, Michael Emmerich
2023	J	`jnl`	Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection. Comput. Ind. Alexander Zeiser, Bekir Özcan, Bas van Stein, Thomas Bäck
2023	A	`conf`	General Boolean Function Benchmark Suite. FOGA Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck
2023	—	`conf`	Hyperparameter Optimization and Neuroevolution with Binary Quadratic Meta-heuristics and Evolution Strategies. CiSt David Von Dollen, Reuben Brasher, Florian Neukart, Thomas Bäck
2023	J	`jnl`	MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts. CoRR Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
2023	—	`conf`	MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts. AutoML Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
2023	J	`jnl`	MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts. CoRR Diederick Vermetten, Furong Ye, Thomas Bäck, Carola Doerr
2023	C	`conf`	MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing. IJCCI Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
2023	J	`jnl`	MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain Testing. CoRR Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova
2023	A	`conf`	Modular Differential Evolution. GECCO Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
2023	J	`jnl`	Modular Differential Evolution. CoRR Diederick Vermetten, Fabio Caraffini, Anna V. Kononova, Thomas Bäck
2023	J	`jnl`	On the Noise Scheduling for Generating Plausible Designs with Diffusion Models. CoRR Jiajie Fan, Laure Vuaille, Thomas Bäck, Hao Wang
2023	C	`conf`	Optimizing CMA-ES with CMA-ES. IJCCI André Thomaser, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova
2023	C	`conf`	Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method. EMO Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2023	C	`conf`	Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-)Optimized Algorithm Parameters. IJCCI André Thomaser, Marc-Eric Vogt, Thomas Bäck, Anna V. Kononova
2023	J	`jnl`	Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems. CoRR Kirill Antonov, Anna V. Kononova, Thomas Bäck, Niki van Stein
2023	C	`conf`	The Prism-Net Search Space Representation for Multi-objective Building Spatial Design. EMO Ksenia Pereverdieva, Michael Emmerich, André H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer
2023	—	`conf`	Towards a General Boolean Function Benchmark Suite. GECCO Companion Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck
2023	C	`conf`	Transfer of Multi-objectively Tuned CMA-ES Parameters to a Vehicle Dynamics Problem. EMO André Thomaser, Marc-Eric Vogt, Anna V. Kononova, Thomas Bäck
2023	J	`jnl`	Using forecasting to evaluate the impact of COVID-19 on passenger air transport demand. Decis. Sci. Xishu Li, Maurits de Groot, Thomas Bäck
2023	J	`jnl`	What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. CoRR Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck
2023	A	`conf`	When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. GECCO André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
2023	J	`jnl`	When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems. CoRR André Thomaser, Jacob de Nobel, Diederick Vermetten, Furong Ye, Thomas Bäck, Anna V. Kononova
2022	J	`jnl`	A Comparison of Global Sensitivity Analysis Methods for Explainable AI With an Application in Genomic Prediction. IEEE Access Bas van Stein, Elena Raponi, Zahra Sadeghi, Niek Bouman, Roeland C. H. J. van Ham, Thomas Bäck
2022	J	`jnl`	A Decision Diagram Operation for Reachability. CoRR Sebastiaan Brand, Thomas Bäck, Alfons Laarman
2022	—	`conf`	A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization. PPSN (1) Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2022	J	`jnl`	An Efficient Contesting Procedure for AutoML Optimization. IEEE Access Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2022	J	`jnl`	Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms. CoRR Diederick Vermetten, Hao Wang, Manuel López-Ibáñez, Carola Doerr, Thomas Bäck
2022	A	`conf`	Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms. GECCO Diederick Vermetten, Hao Wang, Manuel López-Ibáñez, Carola Doerr, Thomas Bäck
2022	—	`ch.`	Artificial Intelligence for the Design of Symmetric Cryptographic Primitives. Security and Artificial Intelligence Luca Mariot, Domagoj Jakobovic, Thomas Bäck, Julio C. Hernandez-Castro
2022	—	`conf`	Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data. ICCAE Fan Yang, Marios Kefalas, Milan Koch, Anna V. Kononova, Yanan Qiao, Thomas Bäck
2022	J	`jnl`	Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance. IEEE Trans. Evol. Comput. Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck
2022	—	`conf`	Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022. GECCO Companion Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck
2022	—	`conf`	Benchmarking and analyzing iterative optimization heuristics with IOH profiler. GECCO Companion Carola Doerr, Hao Wang, Diederick Vermetten, Thomas Bäck, Jacob de Nobel, Furong Ye
2022	J	`jnl`	Chaining of Numerical Black-box Algorithms: Warm-Starting and Switching Points. CoRR Dominik Schröder, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2022	J	`jnl`	Constrained Multi-Objective Optimization with a Limited Budget of Function Evaluations. Memetic Comput. Roy de Winter, Philip Bronkhorst, Bas van Stein, Thomas Bäck
2022	J	`jnl`	Deep Learning based pipeline for anomaly detection and quality enhancement in industrial binder jetting processes. CoRR Alexander Zeiser, Bas van Stein, Thomas Bäck
2022	J	`jnl`	Equivariant quantum circuits for learning on weighted graphs. CoRR Andrea Skolik, Michele Cattelan, Sheir Yarkoni, Thomas Bäck, Vedran Dunjko
2022	J	`jnl`	Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines. CoRR Marios Kefalas, Juan de Santiago Rojo Jr., Asteris Apostolidis, Dirk van den Herik, Bas van Stein, Thomas Bäck
2022	J	`jnl`	Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines. J. Aerosp. Inf. Syst. Marios Kefalas, Juan de Santiago Rojo Jr., Asteris Apostolidis, Dirk van den Herik, Bas van Stein, Thomas Bäck
2022	J	`jnl`	Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software. IEEE Trans. Evol. Comput. Thomas Bäck, Carola Doerr, Bernhard Sendhoff, Thomas Stützle
2022	B	`conf`	Hyperparameter Importance of Quantum Neural Networks Across Small Datasets. DS Charles Moussa, Jan N. van Rijn, Thomas Bäck, Vedran Dunjko
2022	J	`jnl`	Hyperparameter Importance of Quantum Neural Networks Across Small Datasets. CoRR Charles Moussa, Jan N. van Rijn, Thomas Bäck, Vedran Dunjko
2022	J	`jnl`	IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics. ACM Trans. Evol. Learn. Optim. Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
2022	—	`conf`	IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. GECCO Companion Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
2022	A	`conf`	Learning the characteristics of engineering optimization problems with applications in automotive crash. GECCO Fu Xing Long, Bas van Stein, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas Bäck
2022	A	`conf`	Multi-point acquisition function for constraint parallel efficient multi-objective optimization. GECCO Roy de Winter, Bas van Stein, Thomas Bäck
2022	—	`conf`	Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems. SSCI Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova
2022	J	`jnl`	Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems. CoRR Qi Huang, Roy de Winter, Bas van Stein, Thomas Bäck, Anna V. Kononova
2022	J	`jnl`	Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation. IEEE Trans. Evol. Comput. Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2022	J	`jnl`	Non-Elitist Selection among Survivor Configurations can Improve the Performance of Irace. CoRR Furong Ye, Diederick L. Vermetten, Carola Doerr, Thomas Bäck
2022	—	`conf`	Non-elitist Selection Can Improve the Performance of Irace. PPSN (1) Furong Ye, Diederick Vermetten, Carola Doerr, Thomas Bäck
2022	—	`conf`	One-shot optimization for vehicle dynamics control systems: towards benchmarking and exploratory landscape analysis. GECCO Companion André Thomaser, Anna V. Kononova, Marc-Eric Vogt, Thomas Bäck
2022	J	`jnl`	Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications. CoRR Patrick Echtenbruck, Martina Echtenbruck, Kees Joost Batenburg, Thomas Bäck, Boris Naujoks, Michael Emmerich
2022	J	`jnl`	Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve. CoRR Jacob de Nobel, Anna V. Kononova, Jeroen J. Briaire, Johan H. M. Frijns, Thomas Bäck
2022	C	`ed.`	Proceedings of the 14th International Joint Conference on Computational Intelligence, IJCCI 2022, Valletta, Malta, October 24-26, 2022. IJCCI Thomas Bäck, Bas van Stein, Christian Wagner, Jonathan M. Garibaldi, H. K. Lam, Marie Cottrell, Faiyaz Doctor, Joaquim Filipe, Kevin Warwick, Janusz Kacprzyk
2022	J	`jnl`	Quantum-Enhanced Selection Operators for Evolutionary Algorithms. CoRR David Von Dollen, Sheir Yarkoni, Daniel Weimer, Florian Neukart, Thomas Bäck
2022	—	`conf`	Quantum-enhanced selection operators for evolutionary algorithms. GECCO Companion David Von Dollen, Sheir Yarkoni, Daniel Weimer, Florian Neukart, Thomas Bäck
2022	J	`jnl`	Reinforcement Learning Assisted Recursive QAOA. CoRR Yash J. Patel, Sofiène Jerbi, Thomas Bäck, Vedran Dunjko
2022	J	`jnl`	Robust subgroup discovery. Data Min. Knowl. Discov. Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen
2022	J	`jnl`	Saliency Can Be All You Need In Contrastive Self-Supervised Learning. CoRR Veysel Kocaman, Ofer M. Shir, Thomas Bäck, Ahmed Nabil Belbachir
2022	—	`conf`	Saliency Can Be All You Need in Contrastive Self-supervised Learning. ISVC (2) Veysel Kocaman, Ofer M. Shir, Thomas Bäck, Ahmed Nabil Belbachir
2022	—	`book`	Security and Artificial Intelligence - A Crossdisciplinary Approach Security and Artificial Intelligence Lejla Batina, Thomas Bäck, Ileana Buhan, Stjepan Picek
2022	—	`conf`	Sequential experimentation by evolutionary algorithms. GECCO Companion Ofer M. Shir, Thomas Bäck
2022	J	`jnl`	The Vision of Self-Evolving Computing Systems. CoRR Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir
2022	J	`jnl`	The vision of self-evolving computing systems. J. Integr. Des. Process. Sci. Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir
2021	—	`conf`	A Combination of Fourier Transform and Machine Learning for Fault Detection and Diagnosis of Induction Motors. DSA Van Duc Nguyen, Ewout Zwanenburg, Steffen Limmer, Wessel Luijben, Thomas Bäck, Markus Olhofer
2021	—	`conf`	A new acquisition function for robust Bayesian optimization of unconstrained problems. GECCO Companion Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2021	J	`jnl`	Addressing the Multiplicity of Solutions in Optical Lens Design as a Niching Evolutionary Algorithms Computational Challenge. CoRR Anna V. Kononova, Ofer M. Shir, Teus Tukker, Pierluigi Frisco, Shutong Zeng, Thomas Bäck
2021	—	`conf`	Addressing the multiplicity of solutions in optical lens design as a niching evolutionary algorithms computational challenge. GECCO Companion Anna V. Kononova, Ofer M. Shir, Teus Tukker, Pierluigi Frisco, Shutong Zeng, Thomas Bäck
2021	J	`jnl`	An Analysis of Phenotypic Diversity in Multi-Solution Optimization. CoRR Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck
2021	J	`jnl`	Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance. CoRR Furong Ye, Carola Doerr, Hao Wang, Thomas Bäck
2021	—	`conf`	Automated Machine Learning for Remaining Useful Life Estimation of Aircraft Engines. ICPHM Marios Kefalas, Mitra Baratchi, Asteris Apostolidis, Dirk van den Herik, Thomas Bäck
2021	J	`jnl`	Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization. CoRR Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Bäck
2021	J	`jnl`	Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization. Swarm Evol. Comput. Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Bäck
2021	J	`jnl`	Bayesian neural architecture search using a training-free performance metric. Appl. Soft Comput. Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck
2021	J	`jnl`	Designing Air Flow with Surrogate-assisted Phenotypic Niching. CoRR Alexander Hagg, Dominik Wilde, Alexander Asteroth, Thomas Bäck
2021	J	`jnl`	Differential evolution outside the box. Inf. Sci. Anna V. Kononova, Fabio Caraffini, Thomas Bäck
2021	—	`conf`	Efficient AutoML via Combinational Sampling. SSCI Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2021	—	`conf`	Exploiting Generative Models for Performance Predictions of 3D Car Designs. SSCI Sneha Saha, Thiago Rios, Leandro L. Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021	B	`conf`	Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders. CEC Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021	J	`jnl`	Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants. CoRR Jacob de Nobel, Hao Wang, Thomas Bäck
2021	A	`conf`	Explorative data analysis of time series based algorithm features of CMA-ES variants. GECCO Jacob de Nobel, Hao Wang, Thomas Bäck
2021	J	`jnl`	Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search. CoRR Alexander Hagg, Sebastian Berns, Alexander Asteroth, Simon Colton, Thomas Bäck
2021	A	`conf`	Expressivity of parameterized and data-driven representations in quality diversity search. GECCO Alexander Hagg, Sebastian Berns, Alexander Asteroth, Simon Colton, Thomas Bäck
2021	J	`jnl`	Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling. CoRR Sander van Rijn, Sebastian Schmitt, Matthijs van Leeuwen, Thomas Bäck
2021	J	`jnl`	IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics. CoRR Jacob de Nobel, Furong Ye, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2021	B	`conf`	Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems. DSAA Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, Thomas Bäck
2021	J	`jnl`	Is there Anisotropy in Structural Bias? CoRR Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
2021	—	`conf`	Is there anisotropy in structural bias? GECCO Companion Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
2021	J	`jnl`	Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient. IEEE Trans. Evol. Comput. Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu
2021	J	`jnl`	Learning adaptive differential evolution algorithm from optimization experiences by policy gradient. CoRR Jianyong Sun, Xin Liu, Thomas Bäck, Zongben Xu
2021	J	`jnl`	Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection. CoRR Furong Ye, Carola Doerr, Thomas Bäck
2021	—	`conf`	Leveraging benchmarking data for informed one-shot dynamic algorithm selection. GECCO Companion Furong Ye, Carola Doerr, Thomas Bäck
2021	J	`jnl`	Lifelong Computing. CoRR Danny Weyns, Thomas Bäck, René Vidal, Xin Yao, Ahmed Nabil Belbachir
2021	Misc	`conf`	Multi-car paint shop optimization with quantum annealing. QCE Sheir Yarkoni, Alex Alekseyenko, Michael Streif, David Von Dollen, Florian Neukart, Thomas Bäck
2021	J	`jnl`	Multi-car paint shop optimization with quantum annealing. CoRR Sheir Yarkoni, Alex Alekseyenko, Michael Streif, David Von Dollen, Florian Neukart, Thomas Bäck
2021	J	`jnl`	Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches. CoRR Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat
2021	—	`conf`	Optimally Weighted Ensembles for Efficient Multi-objective Optimization. LOD Gideon Hanse, Roy de Winter, Bas van Stein, Thomas Bäck
2021	J	`jnl`	PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data. CoRR Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew
2021	—	`conf`	Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization. 3DV Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
2021	J	`jnl`	Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks. CoRR Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew
2021	C	`ed.`	Proceedings of the 13th International Joint Conference on Computational Intelligence, IJCCI 2021, Online Streaming, October 25-27, 2021 IJCCI Thomas Bäck, Christian Wagner, Jonathan M. Garibaldi, H. K. Lam, Marie Cottrell, Juan Julián Merelo, Kevin Warwick
2021	J	`jnl`	Quantum-Assisted Feature Selection for Vehicle Price Prediction Modeling. CoRR David Von Dollen, Florian Neukart, Daniel Weimer, Thomas Bäck
2021	—	`conf`	Requirements towards optimizing analytics in industrial processes. ANT/EDI40 Alexander Zeiser, Bas van Stein, Thomas Bäck
2021	J	`jnl`	Robust subgroup discovery. CoRR Hugo Manuel Proença, Thomas Bäck, Matthijs van Leeuwen
2021	C	`conf`	SAMO-COBRA: A Fast Surrogate Assisted Constrained Multi-objective Optimization Algorithm. EMO Roy de Winter, Bas van Stein, Thomas Bäck
2021	—	`conf`	Sequential experimentation by evolutionary algorithms. GECCO Companion Ofer M. Shir, Thomas Bäck
2021	—	`conf`	Solving the Shipment Rerouting Problem with Quantum Optimization Techniques. ICCL Sheir Yarkoni, Andreas Huck, Hanno Schülldorf, Benjamin Speitkamp, Marc Shakory Tabrizi, Martin Leib, Thomas Bäck, Florian Neukart
2021	B	`conf`	Tabu-Driven Quantum Neighborhood Samplers. EvoCOP Charles Moussa, Hao Wang, Henri Calandra, Thomas Bäck, Vedran Dunjko
2021	J	`jnl`	Temporal convolutional autoencoder for unsupervised anomaly detection in time series. Appl. Soft Comput. Markus Thill, Wolfgang Konen, Hao Wang, Thomas Bäck
2021	—	`conf`	The Unreasonable Effectiveness of the Final Batch Normalization Layer. ISVC (2) Veysel Kocaman, Ofer M. Shir, Thomas Bäck
2021	J	`jnl`	The Unreasonable Effectiveness of the Final Batch Normalization Layer. CoRR Veysel Kocaman, Ofer M. Shir, Thomas Bäck
2021	J	`jnl`	Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules. CoRR Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2021	—	`conf`	Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules. GECCO Companion Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2020	C	`conf`	A Classification-based Solution For Recommending Process Parameters of Production Processes Without Quality Measures. ISM Zhengtian Ai, Ingo Heinle, Christian Schelske, Hao Wang, Peter Krause, Thomas Bäck
2020	C	`conf`	A Deep Dive Into Exploring the Preference Hypervolume. ICCC Alexander Hagg, Alexander Asteroth, Thomas Bäck
2020	J	`jnl`	A Modular Hybridization of Particle Swarm Optimization and Differential Evolution. CoRR Rick Boks, Hao Wang, Thomas Bäck
2020	J	`jnl`	A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks. CoRR Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2020	J	`jnl`	A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling. CoRR Yali Wang, Bas van Stein, Michael T. M. Emmerich, Thomas Bäck
2020	—	`conf`	A Tailored NSGA-III for Multi-objective Flexible Job Shop Scheduling. SSCI Yali Wang, Bas van Stein, Thomas Bäck, Michael Emmerich
2020	—	`conf`	A modular hybridization of particle swarm optimization and differential evolution. GECCO Companion Rick Boks, Hao Wang, Thomas Bäck
2020	J	`jnl`	AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables. CoRR Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2020	—	`conf`	An Analysis of Phenotypic Diversity in Multi-solution Optimization. BIOMA Alexander Hagg, Mike Preuss, Alexander Asteroth, Thomas Bäck
2020	—	`conf`	Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data. IEEE BigData Marios Kefalas, Milan Koch, Victor Geraedts, Hao Wang, Martijn Tannemaat, Thomas Bäck
2020	—	`conf`	Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds. SSCI Thiago Rios, Jiawen Kong, Bas van Stein, Thomas Bäck, Patricia Wollstadt, Bernhard Sendhoff, Stefan Menzel
2020	J	`jnl`	Bayesian Neural Architecture Search using A Training-Free Performance Metric. CoRR Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck
2020	J	`jnl`	Benchmarking a $(μ+λ)$ Genetic Algorithm with Configurable Crossover Probability. CoRR Furong Ye, Hao Wang, Carola Doerr, Thomas Bäck
2020	—	`conf`	Benchmarking a (μ +λ ) Genetic Algorithm with Configurable Crossover Probability. PPSN (2) Furong Ye, Hao Wang, Carola Doerr, Thomas Bäck
2020	—	`conf`	Benchmarking and analyzing iterative optimization heuristics with IOHprofiler. GECCO Companion Hao Wang, Carola Doerr, Ofer M. Shir, Thomas Bäck
2020	J	`jnl`	Benchmarking discrete optimization heuristics with IOHprofiler. Appl. Soft Comput. Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
2020	—	`conf`	Can Compact Optimisation Algorithms Be Structurally Biased? PPSN (1) Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
2020	B	`conf`	Can Single Solution Optimisation Methods Be Structurally Biased? CEC Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck
2020	J	`jnl`	Cluster-based Kriging approximation algorithms for complexity reduction. Appl. Intell. Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael Emmerich, Thomas Bäck
2020	B	`conf`	Comparison of deep learning and hand crafted features for mining simulation data. ICPR Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew
2020	—	`conf`	Designing Air Flow with Surrogate-Assisted Phenotypic Niching. PPSN (1) Alexander Hagg, Dominik Wilde, Alexander Asteroth, Thomas Bäck
2020	J	`jnl`	Differential evolution outside the box. CoRR Anna V. Kononova, Fabio Caraffini, Thomas Bäck
2020	—	`conf`	Discovering Outstanding Subgroup Lists for Numeric Targets Using MDL. ECML/PKDD (1) Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen
2020	J	`jnl`	Discovering outstanding subgroup lists for numeric targets using MDL. CoRR Hugo Manuel Proença, Peter Grünwald, Thomas Bäck, Matthijs van Leeuwen
2020	—	`conf`	Edge-Rotated Cone Orders in Multi-objective Evolutionary Algorithms for Improved Convergence and Preference Articulation. SSCI Yali Wang, André H. Deutz, Thomas Bäck, Michael Emmerich
2020	B	`conf`	Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. IJCNN Ullah Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2020	—	`conf`	Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization. SSCI Sibghat Ullah, Duc Anh Nguyen, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2020	B	`conf`	Feature Visualization for 3D Point Cloud Autoencoders. IJCNN Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt
2020	J	`jnl`	IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic. CoRR Hao Wang, Diederick Vermetten, Furong Ye, Carola Doerr, Thomas Bäck
2020	—	`conf`	Improving Imbalanced Classification by Anomaly Detection. PPSN (1) Jiawen Kong, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck
2020	—	`conf`	Improving Many-Objective Evolutionary Algorithms by Means of Edge-Rotated Cones. PPSN (2) Yali Wang, André H. Deutz, Thomas Bäck, Michael Emmerich
2020	J	`jnl`	Improving Many-objective Evolutionary Algorithms by Means of Expanded Cone Orders. CoRR Yali Wang, André H. Deutz, Thomas Bäck, Michael T. M. Emmerich
2020	B	`conf`	Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study. ICPR Veysel Kocaman, Ofer M. Shir, Thomas Bäck
2020	J	`jnl`	Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study. CoRR Veysel Kocaman, Ofer M. Shir, Thomas Bäck
2020	—	`conf`	Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search. GECCO Companion Yali Wang, Bas van Stein, Thomas Bäck, Michael Emmerich
2020	A	`conf`	Integrated vs. sequential approaches for selecting and tuning CMA-ES variants. GECCO Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2020	—	`conf`	Neural Network Design: Learning from Neural Architecture Search. SSCI Bas van Stein, Hao Wang, Thomas Bäck
2020	J	`jnl`	Neural Network Design: Learning from Neural Architecture Search. CoRR Bas van Stein, Hao Wang, Thomas Bäck
2020	B	`conf`	Norm Loss: An efficient yet effective regularization method for deep neural networks. ICPR Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Wei Chen, Michael S. Lew
2020	J	`jnl`	On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks. CoRR Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2020	—	`conf`	On the Performance of Oversampling Techniques for Class Imbalance Problems. PAKDD (2) Jiawen Kong, Thiago Rios, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck
2020	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I PPSN (1) Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann
2020	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II PPSN (2) Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann
2020	—	`conf`	Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis. SSCI Raphael Patrick Prager, Heike Trautmann, Hao Wang, Thomas Bäck, Pascal Kerschke
2020	C	`ed.`	Proceedings of the 12th International Joint Conference on Computational Intelligence, IJCCI 2020, Budapest, Hungary, November 2-4, 2020. IJCCI Juan Julián Merelo Guervós, Jonathan M. Garibaldi, Christian Wagner, Thomas Bäck, Kurosh Madani, Kevin Warwick
2020	J	`jnl`	Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method. CoRR Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2020	—	`conf`	Sequential experimentation by evolutionary algorithms. GECCO Companion Ofer M. Shir, Thomas Bäck
2020	J	`jnl`	The significance of bug report elements. Empir. Softw. Eng. Mozhan Soltani, Felienne Hermans, Thomas Bäck
2020	—	`conf`	Time Series Encodings with Temporal Convolutional Networks. BIOMA Markus Thill, Wolfgang Konen, Thomas Bäck
2020	C	`conf`	Towards Data-driven Services in Vehicles. VEHITS Milan Koch, Hao Wang, Robert Bürgel, Thomas Bäck
2020	J	`jnl`	Towards Dynamic Algorithm Selection for Numerical Black-Box Optimization: Investigating BBOB as a Use Case. CoRR Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2020	A	`conf`	Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case. GECCO Diederick Vermetten, Hao Wang, Thomas Bäck, Carola Doerr
2019	—	`conf`	A New Approach Towards the Combined Algorithm Selection and Hyper-parameter Optimization Problem. SSCI Xin Guo, Bas van Stein, Thomas Bäck
2019	A	`conf`	A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization. GECCO Kaifeng Yang, Pramudita Satria Palar, Michael Emmerich, Koji Shimoyama, Thomas Bäck
2019	—	`conf`	A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem. GECCO (Companion) Marios Kefalas, Steffen Limmer, Asteris Apostolidis, Markus Olhofer, Michael Emmerich, Thomas Bäck
2019	—	`conf`	An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. SSCI Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
2019	—	`conf`	Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks. ITAT Markus Thill, Sina Däubener, Wolfgang Konen, Thomas Bäck
2019	A*	`conf`	Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms. ICDM Sina Däubener, Sebastian Schmitt, Hao Wang, Peter Krause, Thomas Bäck
2019	—	`conf`	Automated Machine Learning for EEG-Based Classification of Parkinson's Disease Patients. IEEE BigData Milan Koch, Victor Geraedts, Hao Wang, Martijn Tannemaat, Thomas Bäck
2019	—	`conf`	Automated Machine Learning for Short-term Electric Load Forecasting. SSCI Can Wang, Thomas Bäck, Holger H. Hoos, Mitra Baratchi, Steffen Limmer, Markus Olhofer
2019	B	`conf`	Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization. IJCNN Bas van Stein, Hao Wang, Thomas Bäck
2019	—	`conf`	Bayesian performance analysis for black-box optimization benchmarking. GECCO (Companion) Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bäck, José Antonio Lozano
2019	J	`jnl`	Benchmarking Discrete Optimization Heuristics with IOHprofiler. CoRR Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
2019	—	`conf`	Benchmarking discrete optimization heuristics with IOHprofiler. GECCO (Companion) Carola Doerr, Furong Ye, Naama Horesh, Hao Wang, Ofer M. Shir, Thomas Bäck
2019	C	`conf`	Diversity-Indicator Based Multi-Objective Evolutionary Algorithm: DI-MOEA. EMO Yali Wang, Michael Emmerich, André H. Deutz, Thomas Bäck
2019	J	`jnl`	Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms. CoRR Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
2019	J	`jnl`	Efficient computation of expected hypervolume improvement using box decomposition algorithms. J. Glob. Optim. Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
2019	B	`conf`	Hyper-Parameter Optimization for Improving the Performance of Grammatical Evolution. CEC Hao Wang, Yitan Lou, Thomas Bäck
2019	—	`conf`	Hyperparameter Optimisation for Improving Classification under Class Imbalance. SSCI Jiawen Kong, Wojtek Kowalczyk, Duc Anh Nguyen, Thomas Bäck, Stefan Menzel
2019	B	`conf`	Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation. CEC Furong Ye, Carola Doerr, Thomas Bäck
2019	J	`jnl`	Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation. CoRR Furong Ye, Carola Doerr, Thomas Bäck
2019	—	`conf`	Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. ICDM Workshops Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck, Xin Yao, Zhao Xu, Patricia Wollstadt
2019	J	`jnl`	Mirrored Orthogonal Sampling for Covariance Matrix Adaptation Evolution Strategies. Evol. Comput. Hao Wang, Michael Emmerich, Thomas Bäck
2019	J	`jnl`	Modeling User Selection in Quality Diversity. CoRR Alexander Hagg, Alexander Asteroth, Thomas Bäck
2019	A	`conf`	Modeling user selection in quality diversity. GECCO Alexander Hagg, Alexander Asteroth, Thomas Bäck
2019	J	`jnl`	Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient. Swarm Evol. Comput. Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
2019	—	`conf`	Multi-objective genetic algorithms for reducing mark read-out effort in lithographic tests. GECCO (Companion) Pierluigi Frisco, Timo Bootsma, Thomas Bäck
2019	—	`conf`	On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization. SSCI Thiago Rios, Bernhard Sendhoff, Stefan Menzel, Thomas Bäck, Bas van Stein
2019	—	`conf`	On the potential of evolution strategies for neural network weight optimization. GECCO (Companion) Hao Wang, Thomas Bäck, Aske Plaat, Michael Emmerich, Mike Preuss
2019	J	`jnl`	Online Selection of CMA-ES Variants. CoRR Diederick Vermetten, Sander van Rijn, Thomas Bäck, Carola Doerr
2019	A	`conf`	Online selection of CMA-ES variants. GECCO Diederick Vermetten, Sander van Rijn, Thomas Bäck, Carola Doerr
2019	A	`conf`	Predict or screen your expensive assay: DoE vs. surrogates in experimental combinatorial optimization. GECCO Naama Horesh, Thomas Bäck, Ofer M. Shir
2019	J	`jnl`	SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning. CoRR Samineh Bagheri, Wolfgang Konen, Thomas Bäck
2019	—	`conf`	Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders. SSCI Thiago Rios, Patricia Wollstadt, Bas van Stein, Thomas Bäck, Zhao Xu, Bernhard Sendhoff, Stefan Menzel
2019	—	`conf`	Sequential experimentation by evolutionary algorithms. GECCO (Companion) Ofer M. Shir, Thomas Bäck
2019	J	`jnl`	Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES. CoRR Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
2019	—	`conf`	Solving optimization problems with high conditioning by means of online whitening. GECCO (Companion) Samineh Bagheri, Wolfgang Konen, Thomas Bäck
2019	—	`conf`	Switching Between Swarm Optimization Algorithms During a Run: An Empirical Study. SSCI Teddy Etoeharnowo, Koen Castelein, Hao Wang, Thomas Bäck
2019	B	`conf`	Vehicle Fleet Maintenance Scheduling Optimization by Multi-objective Evolutionary Algorithms. CEC Yali Wang, Steffen Limmer, Markus Olhofer, Michael T. M. Emmerich, Thomas Bäck
2018	—	`conf`	A Novel Uncertainty Quantification Method for Efficient Global Optimization. IPMU (3) Bas van Stein, Hao Wang, Wojtek Kowalczyk, Thomas Bäck
2018	A	`conf`	A new foraging-based algorithm for online scheduling. GECCO Koen van der Blom, Thomas Bäck
2018	C	`conf`	Algorithms for Simulation-Based Optimization Problems. ECMS Thomas Bäck
2018	J	`jnl`	Automatic Configuration of Deep Neural Networks with EGO. CoRR Bas van Stein, Hao Wang, Thomas Bäck
2018	—	`conf`	Compiling a benchmarking test-suite for combinatorial black-box optimization: a position paper. GECCO (Companion) Ofer M. Shir, Carola Doerr, Thomas Bäck
2018	B	`conf`	Cooling Strategies for the Moment-Generating Function in Bayesian Global Optimization. CEC Hao Wang, Michael Emmerich, Thomas Bäck
2018	—	`conf`	Designing Ships Using Constrained Multi-objective Efficient Global Optimization. LOD Roy de Winter, Bas van Stein, Matthys Dijkman, Thomas Bäck
2018	B	`conf`	First Results Solving Arbitrarily Structured Maximum Independent Set Problems Using Quantum Annealing. CEC Sheir Yarkoni, Aske Plaat, Thomas Bäck
2018	J	`jnl`	IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics. CoRR Carola Doerr, Hao Wang, Furong Ye, Sander van Rijn, Thomas Bäck
2018	—	`conf`	Identifying flight delay patterns using diverse subgroup discovery. SSCI Hugo Manuel Proença, Ruben Klijn, Thomas Bäck, Matthijs van Leeuwen
2018	B	`conf`	Learning Fluid Flows. IJCNN Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, Yu Liu, Thomas Bäck, Michael S. Lew
2018	—	`conf`	Machine Learning for Predicting the Damaged Parts of a Low Speed Vehicle Crash. ICDIM Milan Koch, Hao Wang, Thomas Bäck
2018	C	`conf`	Machine Learning for Predicting the Impact Point of a Low Speed Vehicle Crash. ICMLA Milan Koch, Thomas Bäck
2018	—	`conf`	Multi-fidelity surrogate model approach to optimization. GECCO (Companion) Sander van Rijn, Sebastian Schmitt, Markus Olhofer, Matthijs van Leeuwen, Thomas Bäck
2018	A	`conf`	Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement. GECCO Pramudita Satria Palar, Kaifeng Yang, Koji Shimoyama, Michael Emmerich, Thomas Bäck
2018	—	`conf`	Prototype Discovery Using Quality-Diversity. PPSN (1) Alexander Hagg, Alexander Asteroth, Thomas Bäck
2018	J	`jnl`	Prototype Discovery using Quality-Diversity. CoRR Alexander Hagg, Alexander Asteroth, Thomas Bäck
2018	—	`conf`	Ranking empirical cumulative distribution functions using stochastic and pareto dominance. GECCO (Companion) Hao Wang, Thomas Bäck
2018	—	`conf`	Sequential experimentation by evolutionary algorithms. GECCO (Companion) Ofer M. Shir, Thomas Bäck
2018	J	`jnl`	Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling (1+λ) EA Variants on OneMax and LeadingOnes. CoRR Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck
2018	A	`conf`	Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones. GECCO Carola Doerr, Furong Ye, Sander van Rijn, Hao Wang, Thomas Bäck
2018	—	`conf`	Towards an Adaptive CMA-ES Configurator. PPSN (1) Sander van Rijn, Carola Doerr, Thomas Bäck
2017	—	`conf`	A multi-method simulation of a high-frequency bus line. ITSC Thierry van der Spek, Bas van Stein, Marcel van der Holst, Thomas Bäck
2017	B	`conf`	A new acquisition function for Bayesian optimization based on the moment-generating function. SMC Hao Wang, Bas van Stein, Michael Emmerich, Thomas Bäck
2017	A	`conf`	Algorithm configuration data mining for CMA evolution strategies. GECCO Sander van Rijn, Hao Wang, Bas van Stein, Thomas Bäck
2017	J	`jnl`	Artificial Intelligence and Data Science in the Automotive Industry. CoRR Martin Hofmann, Florian Neukart, Thomas Bäck
2017	—	`conf`	Boosting Quantum Annealing Performance Using Evolution Strategies for Annealing Offsets Tuning. QTOP@NetSys Sheir Yarkoni, Hao Wang, Aske Plaat, Thomas Bäck
2017	J	`jnl`	Cluster-based Kriging Approximation Algorithms for Complexity Reduction. CoRR Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael T. M. Emmerich, Thomas Bäck
2017	B	`conf`	Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation. CEC Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Thomas Bäck, Michael T. M. Emmerich
2017	J	`jnl`	Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104]. Inf. Sci. Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Ke Tang, Michael T. M. Emmerich
2017	J	`jnl`	Dynamic vehicle routing with time windows in theory and practice. Nat. Comput. Zhiwei Yang, Jan-Paul van Osta, Barry D. Van Veen, Rick van Krevelen, Richard van Klaveren, Andries Stam, Joost N. Kok, Thomas Bäck, Michael Emmerich
2017	C	`conf`	Hypervolume Indicator Gradient Ascent Multi-objective Optimization. EMO Hao Wang, André H. Deutz, Thomas Bäck, Michael Emmerich
2017	—	`conf`	Online anomaly detection on the webscope S5 dataset: A comparative study. EAIS Markus Thill, Wolfgang Konen, Thomas Bäck
2017	—	`conf`	Reconstructing fixed time traffic light cycles by camera data analytics. ITSC Marco Schönfelder, Valentin Protschky, Thomas Bäck
2017	J	`jnl`	Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets. Appl. Soft Comput. Samineh Bagheri, Wolfgang Konen, Michael Emmerich, Thomas Bäck
2017	—	`conf`	Sequential experimentation by evolutionary algorithms. GECCO (Companion) Ofer M. Shir, Thomas Bäck, Joshua D. Knowles, Richard Allmendinger
2017	A	`conf`	Time complexity reduction in efficient global optimization using cluster kriging. GECCO Hao Wang, Bas van Stein, Michael T. M. Emmerich, Thomas Bäck
2016	—	`conf`	A framework for evaluating meta-models for simulation-based optimisation. SSCI Pepijn Van Heiningen, Bas van Stein, Thomas Bäck
2016	—	`conf`	Analysis and Visualization of Missing Value Patterns. IPMU (2) Bas van Stein, Wojtek Kowalczyk, Thomas Bäck
2016	B	`conf`	Balancing risk and expected gain in kriging-based global optimization. CEC Hao Wang, Michael T. M. Emmerich, Thomas Bäck
2016	B	`conf`	Equality constraint handling for surrogate-assisted constrained optimization. CEC Samineh Bagheri, Wolfgang Konen, Thomas Bäck
2016	J	`jnl`	Evolving the Structure of Evolution Strategies. CoRR Sander van Rijn, Hao Wang, Matthijs van Leeuwen, Thomas Bäck
2016	—	`conf`	Evolving the structure of Evolution Strategies. SSCI Sander van Rijn, Hao Wang, Matthijs van Leeuwen, Thomas Bäck
2016	B	`conf`	Fuzzy clustering for Optimally Weighted Cluster Kriging. FUZZ-IEEE Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael T. M. Emmerich, Thomas Bäck
2016	J	`jnl`	Local Subspace-Based Outlier Detection using Global Neighbourhoods. CoRR Bas van Stein, Matthijs van Leeuwen, Thomas Bäck
2016	—	`conf`	Local subspace-based outlier detection using global neighbourhoods. IEEE BigData Bas van Stein, Matthijs van Leeuwen, Thomas Bäck
2016	J	`jnl`	Multi-objective inventory routing with uncertain demand using population-based metaheuristics. Integr. Comput. Aided Eng. Zhiwei Yang, Michael Emmerich, Thomas Bäck, Joost N. Kok
2016	J	`jnl`	Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms. Inf. Sci. Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Ke Tang, Michael T. M. Emmerich
2016	—	`conf`	Online selection of surrogate models for constrained black-box optimization. SSCI Samineh Bagheri, Wolfgang Konen, Thomas Bäck
2016	—	`conf`	Preference-based multiobjective optimization using truncated expected hypervolume improvement. ICNC-FSKD Kaifeng Yang, Longmei Li, André H. Deutz, Thomas Bäck, Michael Emmerich
2016	—	`conf`	SMS-EMOA with multiple dynamic reference points. ICNC-FSKD Zhiwei Yang, Hao Wang, Kaifeng Yang, Thomas Bäck, Michael Emmerich
2016	A	`conf`	Selection of a DFO Method for the Efficient Solution of Continuous Constrained Sub-Problems within a Memetic Algorithm for Chemical Process Synthesis. GECCO Maren Urselmann, Christophe Foussette, Tim Janus, Stephen Tlatlik, Axel Gottschalk, Michael T. M. Emmerich, Sebastian Engell, Thomas Bäck
2016	B	`conf`	Truncated expected hypervolume improvement: Exact computation and application. CEC Kaifeng Yang, André H. Deutz, Zhiwei Yang, Thomas Bäck, Michael T. M. Emmerich
2015	A	`conf`	A New Repair Method For Constrained Optimization. GECCO Patrick Koch, Samineh Bagheri, Wolfgang Konen, Christophe Foussette, Peter Krause, Thomas Bäck
2015	B	`conf`	Ant based solver for dynamic vehicle routing problem with time windows and multiple priorities. CEC Zhiwei Yang, Michael Emmerich, Thomas Bäck
2015	—	`conf`	Comparing a Weiszfeld's-Based Procedure and (1+1)-es for Solving the Planar Single-Facility Location-Routing Problem. SSCI Pepijn Van Heiningen, Edgar Reehuis, Thomas Bäck
2015	J	`jnl`	Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance. IEEE Trans. Evol. Comput. Pu Wang, Michael Emmerich, Rui Li, Ke Tang, Thomas Bäck, Xin Yao
2015	J	`jnl`	Efficient multi-criteria optimization on noisy machine learning problems. Appl. Soft Comput. Patrick Koch, Tobias Wagner, Michael T. M. Emmerich, Thomas Bäck, Wolfgang Konen
2015	B	`conf`	Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant. CEC Kaifeng Yang, Daniel Gaida, Thomas Bäck, Michael Emmerich
2015	—	`conf`	Multi-point Efficient Global Optimization Using Niching Evolution Strategy. EVOLVE Hao Wang, Thomas Bäck, Michael T. M. Emmerich
2015	—	`conf`	Multicriteria Inventory Routing by Cooperative Swarms and Evolutionary Algorithms. IWINAC (2) Zhiwei Yang, Michael Emmerich, Thomas Bäck, Joost N. Kok
2015	B	`conf`	Optimally Weighted Cluster Kriging for Big Data Regression. IDA Bas van Stein, Hao Wang, Wojtek Kowalczyk, Thomas Bäck, Michael Emmerich
2015	B	`conf`	Optimizing Highly Constrained Truck Loadings Using a Self-Adaptive Genetic Algorithm. CEC Sander van Rijn, Michael T. M. Emmerich, Edgar Reehuis, Thomas Bäck
2015	B	`conf`	Reducing complexity in many objective optimization using community detection. CEC Asep Maulana, Zhongzhou Jiang, Jing Liu, Thomas Bäck, Michael T. M. Emmerich
2015	J	`jnl`	Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control. CoRR Samineh Bagheri, Wolfgang Konen, Michael Emmerich, Thomas Bäck
2015	B	`conf`	Towards robustness optimization of complex networks based on redundancy backup. CEC Xiaoke Zhang, Jun Wu, Cuiying Duan, Michael T. M. Emmerich, Thomas Bäck
2015	B	`conf`	User-derived mutation in highly constrained Truck Loading Optimization. CEC Joost Leuven, Michael Emmerich, Edgar Reehuis, Thomas Bäck
2014	—	`conf`	Introduction to evolution strategies. GECCO (Companion) Thomas Bäck
2014	Misc	`conf`	Mirrored orthogonal sampling with pairwise selection in evolution strategies. SAC Hao Wang, Michael Emmerich, Thomas Bäck
2014	J	`jnl`	Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm. CoRR Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Michael T. M. Emmerich
2014	A	`conf`	Power Distribution Network Reconfiguration by Evolutionary Integer Programming. PPSN Kaifeng Yang, Michael T. M. Emmerich, Rui Li, Ji Wang, Thomas Bäck
2013	—	`conf`	Academic education of software engineering practices: towards planning and improving capstone courses based upon intensive coaching and team routines. CSEE&T Christoph Johann Stettina, Zhao Zhou, Thomas Bäck, Bernhard R. Katzy
2013	—	`conf`	Ant Colony Algorithms for the Dynamic Vehicle Routing Problem with Time Windows. IWINAC (2) Barry D. Van Veen, Michael Emmerich, Zhiwei Yang, Thomas Bäck, Joost N. Kok
2013	—	`book`	Contemporary Evolution Strategies Thomas Bäck, Christophe Foussette, Peter Krause
2013	J	`jnl`	Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance CoRR Pu Wang, Michael Emmerich, Rui Li, Ke Tang, Thomas Bäck, Xin Yao
2013	—	`conf`	Evolution strategies: basic introduction. GECCO (Companion) Thomas Bäck
2013	C	`conf`	Learning-Guided Exploration in Airfoil Optimization. IDEAL Edgar Reehuis, Markus Olhofer, Bernhard Sendhoff, Thomas Bäck
2013	J	`jnl`	Mixed Integer Evolution Strategies for Parameter Optimization. Evol. Comput. Rui Li, Michael T. M. Emmerich, Jeroen Eggermont, Thomas Bäck, Martin Schütz, Jouke Dijkstra, Johan H. C. Reiber
2013	A	`conf`	Novelty and interestingness measures for design-space exploration. GECCO Edgar Reehuis, Markus Olhofer, Michael Emmerich, Bernhard Sendhoff, Thomas Bäck
2012	B	`conf`	A meta-genetic algorithm for solving the Capacitated Vehicle Routing Problem. IEEE Congress on Evolutionary Computation Stefan Wink, Thomas Bäck, Michael T. M. Emmerich
2012	—	`conf`	Evolution strategies: basic introduction. GECCO (Companion) Thomas Bäck
2012	—	`book`	Handbook of Natural Computing Handbook of Natural Computing Grzegorz Rozenberg, Thomas Bäck, Joost N. Kok
2012	—	`conf`	What is the value of your software? MTD@ICSE Jelle de Groot, Ariadi Nugroho, Thomas Bäck, Joost Visser
2011	—	`conf`	Evolution strategies: basic introduction. GECCO (Companion) Thomas Bäck
2011	A	`conf`	Evolutionary strategies for identification and validation of material model parameters for forming simulations. GECCO Thomas Bäck, Lutz Keßler, Ingo Heinle
2011	A	`conf`	On the log-normal self-adaptation of the mutation rate in binary search spaces. GECCO Johannes W. Kruisselbrink, Rui Li, Edgar Reehuis, Jeroen Eggermont, Thomas Bäck
2011	A	`conf`	Using the uncertainty handling CMA-ES for finding robust optima. GECCO Johannes W. Kruisselbrink, Edgar Reehuis, André H. Deutz, Thomas Bäck, Michael Emmerich
2010	B	`conf`	A robust optimization approach using Kriging metamodels for robustness approximation in the CMA-ES. IEEE Congress on Evolutionary Computation Johannes W. Kruisselbrink, Michael T. M. Emmerich, André H. Deutz, Thomas Bäck
2010	J	`jnl`	Adaptive Niche Radii and Niche Shapes Approaches for Niching with the CMA-ES. Evol. Comput. Ofer M. Shir, Michael Emmerich, Thomas Bäck
2010	—	`conf`	An Archive Maintenance Scheme for Finding Robust Solutions. PPSN (1) Johannes W. Kruisselbrink, Michael Emmerich, Thomas Bäck
2010	—	`conf`	Evolution strategies: basic introduction. GECCO (Companion) Thomas Bäck
2010	—	`conf`	Experimental optimization by evolutionary algorithms. GECCO (Companion) Thomas Bäck, Joshua D. Knowles, Ofer M. Shir
2010	—	`conf`	Exploiting Overlap When Searching for Robust Optima. PPSN (1) Johannes W. Kruisselbrink, Michael Emmerich, André H. Deutz, Thomas Bäck
2010	A	`conf`	Mixed-integer evolution strategy using multiobjective selection applied to warehouse design optimization. GECCO Edgar Reehuis, Thomas Bäck
2009	C	`conf`	Combining Aggregation with Pareto Optimization: A Case Study in Evolutionary Molecular Design. EMO Johannes W. Kruisselbrink, Michael T. M. Emmerich, Thomas Bäck, Andreas Bender, Adriaan P. IJzerman, Eelke van der Horst
2009	A	`conf`	Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching. GECCO Johannes W. Kruisselbrink, Alexander Aleman, Michael T. M. Emmerich, Adriaan P. IJzerman, Andreas Bender, Thomas Bäck, Eelke van der Horst
2009	—	`conf`	How to Do Recombination in Evolution Strategies: An Empirical Study. IWINAC (1) Juan Chen, Michael T. M. Emmerich, Rui Li, Joost N. Kok, Thomas Bäck
2009	—	`conf`	Niching Methods: Speciation Theory Applied for Multi-modal Function Optimization. Algorithmic Bioprocesses Ofer M. Shir, Thomas Bäck
2009	J	`jnl`	Niching with derandomized evolution strategies in artificial and real-world landscapes. Nat. Comput. Ofer M. Shir, Thomas Bäck
2009	—	`conf`	On the limitations of adaptive resampling in using the student's t-test evolution strategies. GECCO (Companion) Johannes W. Kruisselbrink, Michael T. M. Emmerich, Thomas Bäck
2008	—	`conf`	A Reduced-Cost SMS-EMOA Using Kriging, Self-Adaptation, and Parallelization. MCDM Jan Willem Klinkenberg, Michael T. M. Emmerich, André H. Deutz, Ofer M. Shir, Thomas Bäck
2008	—	`conf`	Evolution strategies: basic introduction. GECCO (Companion) Thomas Bäck
2008	A	`conf`	Evolutionary algorithms for automated drug design towards target molecule properties. GECCO Johannes W. Kruisselbrink, Thomas Bäck, Adriaan P. IJzerman, Eelke van der Horst
2008	J	`jnl`	Evolutionary algorithms for real world applications [Application Notes]. IEEE Comput. Intell. Mag. Thomas Bäck, Michael Emmerich, Ofer M. Shir
2008	B	`conf`	Metamodel-assisted mixed integer evolution strategies and their application to intravascular ultrasound image analysis. IEEE Congress on Evolutionary Computation Rui Li, Michael T. M. Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
2008	A	`conf`	Mixed-Integer Evolution Strategies with Dynamic Niching. PPSN Rui Li, Jeroen Eggermont, Ofer M. Shir, Michael T. M. Emmerich, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
2008	A	`conf`	Niche Radius Adaptation with Asymmetric Sharing. PPSN Vincent van der Goes, Ofer M. Shir, Thomas Bäck
2008	B	`conf`	On the evolution of laser pulses under a dynamic Quantum Control environment. IEEE Congress on Evolutionary Computation Ofer M. Shir, Thomas Bäck, Herschel Rabitz, Marc J. J. Vrakking
2008	—	`conf`	Optimizing Computed Tomographic Angiography Image Segmentation Using Fitness Based Partitioning. EvoWorkshops Jeroen Eggermont, Rui Li, Ernst G. P. Bovenkamp, Henk A. Marquering, Michael T. M. Emmerich, Aad van der Lugt, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
2008	A	`conf`	Performance analysis of derandomized evolution strategies in quantum control experiments. GECCO Ofer M. Shir, Jonathan Roslund, Thomas Bäck, Herschel Rabitz
2008	A	`conf`	Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata. GECCO Ron Breukelaar, Thomas Bäck
2007	—	`conf`	Classification of Cell Fates with Support Vector Machine Learning. EvoBIO Ofer M. Shir, Vered Raz, Roeland W. Dirks, Thomas Bäck
2007	J	`jnl`	Computing and the natural sciences at CiE 2005. Theor. Comput. Sci. Thomas Bäck, Benedikt Löwe
2007	J	`jnl`	DNA computing of solutions to knapsack problems. Biosyst. Christiaan V. Henkel, Thomas Bäck, Joost N. Kok, Grzegorz Rozenberg, Herman P. Spaink
2007	—	`conf`	Evolution Strategies for Laser Pulse Compression. Artificial Evolution Riccardo Fanciulli, Lars Willmes, Janne Savolainen, Peter van der Walle, Thomas Bäck, Jennifer L. Herek
2007	—	`conf`	Gaining Insights into Laser Pulse Shaping by Evolution Strategies. IWINAC (1) Ofer M. Shir, Joost N. Kok, Thomas Bäck, Marc J. J. Vrakking
2007	A	`conf`	On the scalability of evolution strategies in the optimization of dynamic molecular alignment. GECCO Ofer M. Shir, Thomas Bäck, Marc J. J. Vrakking
2007	A	`conf`	Performance analysis of niching algorithms based on derandomized-ES variants. GECCO Ofer M. Shir, Thomas Bäck
2007	B	`conf`	Self-Adaptive Niching CMA-ES with Mahalanobis Metric. IEEE Congress on Evolutionary Computation Ofer M. Shir, Michael Emmerich, Thomas Bäck
2007	B	`conf`	The application of evolutionary multi-criteria optimization to dynamic molecular alignment. IEEE Congress on Evolutionary Computation Ofer M. Shir, Michael Emmerich, Thomas Bäck, Marc J. J. Vrakking
2007	A	`conf`	The second harmonic generation case-study as a gateway for es to quantum control problems. GECCO Ofer M. Shir, Thomas Bäck
2007	—	`conf`	Towards Dynamic Fitness Based Partitioning for IntraVascular UltraSound Image Analysis. EvoWorkshops Rui Li, Jeroen Eggermont, Michael T. M. Emmerich, Ernst G. P. Bovenkamp, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
2006	B	`conf`	Evolutionary Algorithms in the Optimization of Dynamic Molecular Alignment. IEEE Congress on Evolutionary Computation Ofer M. Shir, Christian Siedschlag, Thomas Bäck, Marc J. J. Vrakking
2006	C	`conf`	Learning the Complete-Basis-Functions Parameterization for the Optimization of Dynamic Molecular Alignment by ES. IDEAL Ofer M. Shir, Joost N. Kok, Thomas Bäck, Marc J. J. Vrakking
2006	J	`jnl`	Mining a Chemical Database for Fragment Co-occurrence: Discovery of "Chemical Clichés". J. Chem. Inf. Model. Eric-Wubbo Lameijer, Joost N. Kok, Thomas Bäck, Adriaan P. IJzerman
2006	—	`conf`	Mixed-Integer Evolution Strategies and Their Application to Intravascular Ultrasound Image Analysis. EvoWorkshops Rui Li, Michael Emmerich, Ernst G. P. Bovenkamp, Jeroen Eggermont, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
2006	A	`conf`	Mixed-Integer NK Landscapes. PPSN Rui Li, Michael T. M. Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
2006	A	`conf`	Niche Radius Adaptation in the CMA-ES Niching Algorithm. PPSN Ofer M. Shir, Thomas Bäck
2006	—	`conf`	On Interactive Evolution Strategies. EvoWorkshops Ron Breukelaar, Michael Emmerich, Thomas Bäck
2006	J	`jnl`	Substructure Mining Using Elaborate Chemical Representation. J. Chem. Inf. Model. Jeroen Kazius, Siegfried Nijssen, Joost N. Kok, Thomas Bäck, Adriaan P. IJzerman
2006	J	`jnl`	The Molecule Evoluator. An Interactive Evolutionary Algorithm for the Design of Drug-Like Molecules. J. Chem. Inf. Model. Eric-Wubbo Lameijer, Joost N. Kok, Thomas Bäck, Adriaan P. IJzerman
2006	A	`conf`	The complete-basis-functions parameterization in ES and its application to laser pulse shaping. GECCO Ofer M. Shir, Christian Siedschlag, Thomas Bäck, Marc J. J. Vrakking
2005	B	`conf`	Dynamic niching in evolution strategies with covariance matrix adaptation. Congress on Evolutionary Computation Ofer M. Shir, Thomas Bäck
2005	J	`jnl`	Evolutionary Algorithms in Drug Design. Nat. Comput. Eric-Wubbo Lameijer, Thomas Bäck, Joost N. Kok, Adriaan P. IJzerman
2005	—	`conf`	Niching in Evolution Strategies and Its Application to Laser Pulse Shaping. Artificial Evolution Ofer M. Shir, Christian Siedschlag, Thomas Bäck, Marc J. J. Vrakking
2005	A	`conf`	Niching in evolution strategies. GECCO Ofer M. Shir, Thomas Bäck
2005	B	`conf`	Reliable Hierarchical Clustering with the Self-organizing Map. IDA Elena V. Samsonova, Thomas Bäck, Joost N. Kok, Adriaan P. IJzerman
2005	C	`conf`	Using Genetic Algorithms to Evolve Behavior in Cellular Automata. UC Thomas Bäck, Ron Breukelaar
2005	A	`conf`	Using a genetic algorithm to evolve behavior in multi dimensional cellular automata: emergence of behavior. GECCO Ron Breukelaar, Thomas Bäck
2004	—	`conf`	Evolving Transition Rules for Multi Dimensional Cellular Automata. ACRI Ron Breukelaar, Thomas Bäck
2004	J	`jnl`	Industrial Optimization by Evolution Strategies: A Bioinspired Optimization Algorithm. Informatica (Slovenia) Thomas Bäck, Lars Willmes, Peter Krause
2004	—	`conf`	Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm. UPP Thomas Bäck, Ron Breukelaar, Lars Willmes
2004	J	`jnl`	Preface. Nat. Comput. Thomas Bäck, Marc Schoenauer, Lars Willmes
2004	J	`jnl`	Robust Parameter Settings for Variation Operators by Measuring the Resampling Ratio: A Study on Binary Constraint Satisfaction Problems. J. Heuristics Jano I. van Hemert, Thomas Bäck
2003	J	`jnl`	An analysis of the behavior of simplified evolutionary algorithms on trap functions. IEEE Trans. Evol. Comput. Siegfried Nijssen, Thomas Bäck
2003	B	`conf`	Combining and Comparing Cluster Methods in a Receptor Database. IDA Elena V. Samsonova, Thomas Bäck, Margot W. Beukers, Adriaan P. IJzerman, Joost N. Kok
2003	B	`conf`	Comparing neural networks and Kriging for fitness approximation in evolutionary optimization. IEEE Congress on Evolutionary Computation Lars Willmes, Thomas Bäck, Yaochu Jin, Bernhard Sendhoff
2003	C	`conf`	Multi-criteria Airfoil Design with Evolution Strategies. EMO Lars Willmes, Thomas Bäck
2002	—	`conf`	Adaptive Business Intelligence Based on Evolution Strategies: Some Application Examples of Self-Adaptive Software. JCIS Thomas Bäck
2002	J	`jnl`	Adaptive business intelligence based on evolution strategies: some application examples of self-adaptive software. Inf. Sci. Thomas Bäck
2002	—	`conf`	Effects of Tax and Evolution in an Artificial Society. JCIS Thomas Bäck, Daniel Vermeulen, A. E. Eiben
2002	A	`conf`	Evaluating Multi-criteria Evolutionary Algorithms for Airfoil Optimisation. PPSN Boris Naujoks, Lars Willmes, Thomas Bäck, Werner Haase
2002	J	`jnl`	Evolutionary Computation: A Guided Tour. Bull. EATCS Thomas Bäck
2002	A	`conf`	Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction. PPSN Jano I. van Hemert, Thomas Bäck
2002	A	`conf`	Metamodel-Assisted Evolution Strategies. PPSN Michael Emmerich, Alexios Giotis, Mutlu Özdemir, Thomas Bäck, Kyriakos C. Giannakoglou
2002	A	`conf`	Multi Objective Airfoil Design Using Single Parent Populations. GECCO Boris Naujoks, Werner Haase, Jörg Ziegenhirt, Thomas Bäck
2001	—	`ch.`	Theory of Genetic Algorithms. Current Trends in Theoretical Computer Science Thomas Bäck, Jeannette M. de Graaf, Joost N. Kok, Walter A. Kosters
2001	B	`conf`	Thresholding-a selection operator for noisy ES. CEC Sandor Markon, Dirk V. Arnold, Thomas Bäck, Thomas Beielstein, Hans-Georg Beyer
2000	B	`conf`	A Distributed Resource Evolutionary Algorithm Machine (DREAM). CEC Ben Paechter, Thomas Bäck, Marc Schoenauer, Michèle Sebag, Ágoston E. Eiben, Juan Julián Merelo, Terence C. Fogarty
2000	A	`conf`	An Empirical Study on GAs "Without Parameters". PPSN Thomas Bäck, A. E. Eiben, Nikolai A. L. van der Vaart
1999	B	`conf`	Cross-fertilization between evolutionary computation and DNA-based computing. CEC Thomas Bäck, Joost N. Kok, Grzegorz Rozenberg
1999	B	`conf`	Generalizations of intermediate recombination in evolution strategies. CEC Thomas Bäck, Ágoston E. Eiben
1999	—	`conf`	Improved Evolutionary Algorithms for Scheduling Problems. German-Argentinian Workshop on Information Technology Thomas Bäck, Martin Schütz, Raúl Héctor Gallard, Guillermo Leguizamón
1998	—	`conf`	A Superior Evolutionary Algorithm for 3-SAT. Evolutionary Programming Thomas Bäck, A. E. Eiben, Marco E. Vink
1998	J	`jnl`	An Overview of Parameter Control Methods by Self-Adaption in Evolutionary Algorithms. Fundam. Informaticae Thomas Bäck
1998	A	`ed.`	Parallel Problem Solving from Nature - PPSN V, 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998, Proceedings PPSN A. E. Eiben, Thomas Bäck, Marc Schoenauer, Hans-Paul Schwefel
1998	J	`jnl`	Robust design of multilayer optical coatings by means of evolutionary algorithms. IEEE Trans. Evol. Comput. Dirk Wiesmann, Ulrich Hammel, Thomas Bäck
1997	J	`jnl`	Empirical Investigation of Multiparent Recombination Operators in Evolution Strategies. Evol. Comput. A. E. Eiben, Thomas Bäck
1997	J	`jnl`	Evolutionary computation: Toward a new philosophy of machine intelligence. Complex. Thomas Bäck
1997	J	`jnl`	Evolutionary computation: comments on the history and current state. IEEE Trans. Evol. Comput. Thomas Bäck, Ulrich Hammel, Hans-Paul Schwefel
1997	—	`ed.`	Proceedings of the 7th International Conference on Genetic Algorithms, East Lansing, MI, USA, July 19-23, 1997 ICGA Thomas Bäck
1996	—	`conf`	Evolutionary Algorithms Support Refueling of Pressurized Water Reactors. International Conference on Evolutionary Computation Thomas Bäck, Jochen Heistermann, Cornelia Kappler, Michele Zamparelli
1996	—	`conf`	Evolutionary Computation: An Overview. International Conference on Evolutionary Computation Thomas Bäck, Hans-Paul Schwefel
1996	—	`book`	Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms. Thomas Bäck
1996	C	`conf`	Intelligent Mutation Rate Control in Canonical Genetic Algorithms. ISMIS Thomas Bäck, Martin Schütz
1996	A	`conf`	Modeling Urban Growth by Cellular Automata. PPSN Thomas Bäck, Holger Dörnemann, Ulrich Hammel, Pierre Frankhauser
1996	—	`ed.`	Proceedings of the Fifth Annual Conference on Evolutionary Programming, EP 1996, San Diego, CA, USA, February 29 - March 2, 1996. EP Lawrence J. Fogel, Peter J. Angeline, Thomas Bäck
1996	A	`conf`	Refueling of a Nuclear Power Plant: Comparison of a Naive and a Specialized Mutation Operator. PPSN Cornelia Kappler, Thomas Bäck, Jürgen Heistermann, A. Van der Velde, Michele Zamparelli
1995	—	`conf`	A Comparative Study of a Penalty Function, a Repair Heuristic and Stochastic Operators with the Set-Covering Problem. Artificial Evolution Thomas Bäck, Martin Schütz, Sami Khuri
1995	—	`conf`	Evolution Strategies for Mixed-Integer Optimization of Optical Multilayer Systems. Evolutionary Programming Thomas Bäck, Martin Schütz
1995	—	`conf`	Evolution Strategies: An Alternative Evolutionary Algorithm. Artificial Evolution Thomas Bäck
1995	—	`conf`	Generalized Convergence Models for Tournament- and (mu, lambda)-Selection. ICGA Thomas Bäck
1994	—	`conf`	An Evolutionary Approach to Combinatorial Optimization Problems. ACM Conference on Computer Science Sami Khuri, Thomas Bäck, Jörg Heitkötter
1994	—	`conf`	An Evolutionary Heuristic for the Maximum Independent Set Problem. International Conference on Evolutionary Computation Thomas Bäck, Sami Khuri
1994	J	`jnl`	Book Review: Proceedings of the Fifth International Conference on Genetic Algorithms. Evol. Comput. Thomas Bäck
1994	—	`conf`	Evolution Strategies Applied to Perturbed Objective Functions. International Conference on Evolutionary Computation Thomas Bäck, Ulrich Hammel
1994	A	`conf`	Evolution Strategies on Noisy Functions: How to Improve Convergence Properties. PPSN Ulrich Hammel, Thomas Bäck
1994	—	`—`	Evolutionary algorithms in theorie and practice. Thomas Bäck
1994	A	`conf`	Order Statistics for Convergence Velocity Analysis of Simplified Evolutionary Algorithms. FOGA Thomas Bäck
1994	A	`conf`	Parallel Optimization of Evolutionary Algorithms. PPSN Thomas Bäck
1994	—	`conf`	Selective Pressure in Evolutionary Algorithms: A Characterization of Selection Mechanisms. International Conference on Evolutionary Computation Thomas Bäck
1994	Misc	`conf`	The zero/one multiple knapsack problem and genetic algorithms. SAC Sami Khuri, Thomas Bäck, Jörg Heitkötter
1993	J	`jnl`	An Overview of Evolutionary Algorithms for Parameter Optimization. Evol. Comput. Thomas Bäck, Hans-Paul Schwefel
1993	—	`conf`	An Overview of Evolutionary Computation. ECML William M. Spears, Kenneth A. De Jong, Thomas Bäck, David B. Fogel, Hugo de Garis
1993	—	`conf`	Optimal Mutation Rates in Genetic Search. ICGA Thomas Bäck
1992	J	`jnl`	Künstliche Evolution - eine intelligente Problemlösungsstrategie? Künstliche Intell. Hans-Paul Schwefel, Thomas Bäck
1992	A	`conf`	The Interaction of Mutation Rate, Selection, and Self-Adaptation Within a Genetic Algorithm. PPSN Thomas Bäck
1991	—	`conf`	A Survey of Evolution Strategies. ICGA Thomas Bäck, Frank Hoffmeister, Hans-Paul Schwefel
1991	—	`conf`	Extended Selection Mechanisms in Genetic Algorithms. ICGA Thomas Bäck, Frank Hoffmeister
1990	A	`conf`	Genetic Algorithms and Evolution Strategies - Similarities and Differences. PPSN Frank Hoffmeister, Thomas Bäck