Markus Olhofer

89 papers A 13B 19C 5Journal 37Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FederatedFactory: Generative One-Shot Learning for Extremely Non-IID Distributed Scenarios. CoRR Andrea Moleri, Christian Internò, Ali Raza, Markus Olhofer, David A. Klindt, Fabio Stella, Barbara Hammer
2026	J	`jnl`	The Observer Effect in World Models: Invasive Adaptation Corrupts Latent Physics. CoRR Christian Internò, Jumpei Yamaguchi, Loren Amdahl-Culleton, Markus Olhofer, David A. Klindt, Barbara Hammer
2025	J	`jnl`	AI-Generated Video Detection via Perceptual Straightening. CoRR Christian Internò, Robert Geirhos, Markus Olhofer, Sunny Liu, Barbara Hammer, David A. Klindt
2025	J	`jnl`	Federated Loss Exploration for Improved Convergence on Non-IID Data. CoRR Christian Internò, Markus Olhofer, Yaochu Jin, Barbara Hammer
2025	—	`conf`	Optimization of Time-Variant Charging Station Placement Using Evolutionary Algorithms. GECCO Companion Sai Lokesh Kancharla, Sebastian Brulin, Sanaz Mostaghim, Markus Olhofer
2024	—	`conf`	A Hierarchical Dissimilarity Metric for Automated Machine Learning Pipelines, and Visualizing Search Behaviour. EvoApplications@EvoStar Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer
2024	J	`jnl`	Alleviating Search Bias in Bayesian Evolutionary Optimization With Many Heterogeneous Objectives. IEEE Trans. Syst. Man Cybern. Syst. Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
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	B	`conf`	Bicriteria Optimisation of Average and Worst-Case Performance Using Coevolutionary Algorithms. CEC Alistair Benford, Markus Olhofer, Tobias Rodemann, Per Kristian Lehre
2024	C	`conf`	Coding by Design: GPT-4 Empowers Agile Model Driven Development. MODELSWARD Ahmed R. Sadik, Sebastian Brulin, Markus Olhofer
2024	B	`conf`	Federated Loss Exploration for Improved Convergence on Non-IID Data. IJCNN Christian Internò, Markus Olhofer, Yaochu Jin, Barbara Hammer
2024	J	`jnl`	Hybrid Many-Objective Optimization in Probabilistic Mission Design for Compliant and Effective UAV Routing. CoRR Simon Kohaut, Nikolas Hohmann, Sebastian Brulin, Benedict Flade, Julian Eggert, Markus Olhofer, Jürgen Adamy, Devendra Singh Dhami, Kristian Kersting
2024	J	`jnl`	LLM as a code generator in Agile Model Driven Development. CoRR Ahmed R. Sadik, Sebastian Brulin, Markus Olhofer, Antonello Ceravola, Frank Joublin
2024	A	`conf`	Using Bayesian Optimization to Improve Hyperparameter Search in TPOT. GECCO Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer
2023	J	`jnl`	Bi-level Network Design for UAM Vertiport Allocation Using Activity-Based Transport Simulations. CoRR Sebastian Brulin, Markus Olhofer
2023	J	`jnl`	Coding by Design: GPT-4 empowers Agile Model Driven Development. CoRR Ahmed R. Sadik, Sebastian Brulin, Markus Olhofer
2023	J	`jnl`	Evaluation of geometric similarity metrics for structural clusters generated using topology optimization. Appl. Intell. Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck
2023	A	`conf`	Hybridizing TPOT with Bayesian Optimization. GECCO Angus Kenny, Tapabrata Ray, Steffen Limmer, Hemant Kumar Singh, Tobias Rodemann, Markus Olhofer
2023	J	`jnl`	Recent Advances in Bayesian Optimization. ACM Comput. Surv. Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2023	J	`jnl`	Solution Set Augmentation for Knee Identification in Multiobjective Decision Analysis. IEEE Trans. Cybern. Guo Yu, Yaochu Jin, Markus Olhofer, Qiqi Liu, Wenli Du
2023	J	`jnl`	Surrogate-Assisted Many-Objective Optimization of Building Energy Management. IEEE Comput. Intell. Mag. Qiqi Liu, Felix Lanfermann, Tobias Rodemann, Markus Olhofer, Yaochu Jin
2022	J	`jnl`	Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives. CoRR Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2022	B	`conf`	Cooperative Multi-objective Topology Optimization Using Clustering and Metamodeling. CEC Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck
2022	J	`jnl`	Investigating the Use of Linear Programming and Evolutionary Algorithms for Multi-Objective Electric Vehicle Charging Problem. IEEE Access Hemant Kumar Singh, Tapabrata Ray, Md Juel Rana, Steffen Limmer, Tobias Rodemann, Markus Olhofer
2022	B	`conf`	Multi-objective 3D Path Planning for UAVs in Large-Scale Urban Scenarios. CEC Nikolas Hohmann, Mariusz Bujny, Jürgen Adamy, Markus Olhofer
2022	J	`jnl`	Recent Advances in Bayesian Optimization. CoRR Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2022	J	`jnl`	Towards identification of solutions of interest for multi-objective problems considering both objective and variable space information. Appl. Soft Comput. Tapabrata Ray, Hemant Kumar Singh, Kamrul Hasan Rahi, Tobias Rodemann, Markus Olhofer
2022	J	`jnl`	Transfer Learning Based Co-Surrogate Assisted Evolutionary Bi-Objective Optimization for Objectives with Non-Uniform Evaluation Times. Evol. Comput. Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
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	J	`jnl`	A Multiobjective Evolutionary Algorithm for Finding Knee Regions Using Two Localized Dominance Relationships. IEEE Trans. Evol. Comput. Guo Yu, Yaochu Jin, Markus Olhofer
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	—	`conf`	Hybrid Evolutionary Approach to Multi-objective Path Planning for UAVs. SSCI Nikolas Hohmann, Mariusz Bujny, Jürgen Adamy, Markus Olhofer
2021	J	`jnl`	Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times. CoRR Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2021	J	`jnl`	Transfer learning based surrogate assisted evolutionary bi-objective optimization for objectives with different evaluation times. Knowl. Based Syst. Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer, Richard Allmendinger
2020	J	`jnl`	An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization. Inf. Sci. Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
2020	J	`jnl`	Benchmark Problems and Performance Indicators for Search of Knee Points in Multiobjective Optimization. IEEE Trans. Cybern. Guo Yu, Yaochu Jin, Markus Olhofer
2020	J	`jnl`	Evolutionary Black-Box Topology Optimization: Challenges and Promises. IEEE Trans. Evol. Comput. David Guirguis, Nikola Aulig, Renato Picelli, Bo Zhu, Yuqing Zhou, William Vicente, Francesco Iorio, Markus Olhofer, Wojciech Matusik, Carlos Artemio Coello Coello, Kazuhiro Saitou
2020	B	`conf`	Online intensification of search around solutions of interest for multi/many-objective optimization. CEC Tapabrata Ray, Hemant Kumar Singh, Ahsanul Habib, Tobias Rodemann, Markus Olhofer
2020	A	`conf`	Transfer learning for gaussian process assisted evolutionary bi-objective optimization for objectives with different evaluation times. GECCO Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
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 a priori knee identification multi-objective evolutionary algorithm based on GECCO (Companion) Guo Yu, Yaochu Jin, Markus Olhofer
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	C	`conf`	Hybrid Kriging-assisted Level Set Method for Structural Topology Optimization. IJCCI Elena Raponi, Mariusz Bujny, Markus Olhofer, Simonetta Boria, Fabian Duddeck
2019	—	`conf`	Identifying Topological Prototypes using Deep Point Cloud Autoencoder Networks. ICDM Workshops Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck
2019	—	`conf`	Identifying solutions of interest for practical many-objective problems using recursive expected marginal utility. GECCO (Companion) Hemant Kumar Singh, Tapabrata Ray, Tobias Rodemann, Markus Olhofer
2019	B	`conf`	References or Preferences - Rethinking Many-objective Evolutionary Optimization. CEC Guo Yu, Yaochu Jin, Markus Olhofer
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	B	`conf`	A Method for a Posteriori Identification of Knee Points Based on Solution Density. CEC Guo Yu, Yaochu Jin, Markus Olhofer
2018	B	`conf`	Learning Fluid Flows. IJCNN Theodoros Georgiou, Sebastian Schmitt, Markus Olhofer, Yu Liu, Thomas Bäck, Michael S. Lew
2018	A	`conf`	Learning-based topology variation in evolutionary level set topology optimization. GECCO Mariusz Bujny, Nikola Aulig, Markus Olhofer, Fabian Duddeck
2018	—	`conf`	Multi-fidelity surrogate model approach to optimization. GECCO (Companion) Sander van Rijn, Sebastian Schmitt, Markus Olhofer, Matthijs van Leeuwen, Thomas Bäck
2017	J	`jnl`	Evolutionary Many-Objective Optimization of Hybrid Electric Vehicle Control: From General Optimization to Preference Articulation. IEEE Trans. Emerg. Top. Comput. Intell. Ran Cheng, Tobias Rodemann, Michael Fischer, Markus Olhofer, Yaochu Jin
2017	J	`jnl`	Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. IEEE Trans. Cybern. Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2016	J	`jnl`	A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2016	B	`conf`	Evolutionary computation for topology optimization of mechanical structures: An overview of representations. CEC Nikola Aulig, Markus Olhofer
2016	B	`conf`	Hybrid evolutionary approach for level set topology optimization. CEC Mariusz Bujny, Nikola Aulig, Markus Olhofer, Fabian Duddeck
2016	J	`jnl`	Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization. Soft Comput. Kaname Narukawa, Yu Setoguchi, Yuki Tanigaki, Markus Olhofer, Bernhard Sendhoff, Hisao Ishibuchi
2016	B	`conf`	State-based representation for structural topology optimization and application to crashworthiness. CEC Nikola Aulig, Markus Olhofer
2015	B	`conf`	Neuro-evolutionary Topology Optimization with Adaptive Improvement Threshold. EvoApplications Nikola Aulig, Markus Olhofer
2015	B	`conf`	Reference vector based a posteriori preference articulation for evolutionary multiobjective optimization. CEC Ran Cheng, Markus Olhofer, Yaochu Jin
2014	—	`conf`	Adaptive System Design by a Simultaneous Evolution of Morphology and Information Processing. SEAL Olga Smalikho, Markus Olhofer
2014	B	`conf`	Co-evolution of Sensory System and Signal Processing for Optimal Wing Shape Control. EvoApplications Olga Smalikho, Markus Olhofer
2014	A	`conf`	Growth in co-evolution of sensory system and signal processing for optimal wing control. GECCO Olga Smalikho, Markus Olhofer
2014	A	`conf`	Neuro-evolutionary topology optimization of structures by utilizing local state features. GECCO Nikola Aulig, Markus Olhofer
2013	—	`conf`	Evolutionary generation of neural network update signals for the topology optimization of structures. GECCO (Companion) Nikola Aulig, Markus Olhofer
2013	C	`conf`	Learning-Guided Exploration in Airfoil Optimization. IDEAL Edgar Reehuis, Markus Olhofer, Bernhard Sendhoff, Thomas Bäck
2013	A	`conf`	Novelty and interestingness measures for design-space exploration. GECCO Edgar Reehuis, Markus Olhofer, Michael Emmerich, Bernhard Sendhoff, Thomas Bäck
2011	J	`jnl`	Autonomous experimental design optimization of a flapping wing. Genet. Program. Evolvable Mach. Markus Olhofer, Dilyana Yankulova, Bernhard Sendhoff
2010	—	`conf`	Towards Directed Open-Ended Search by a Novelty Guided Evolution Strategy. PPSN (2) Lars Gräning, Nikola Aulig, Markus Olhofer
2009	C	`conf`	Interaction Detection in Aerodynamic Design Data. IDEAL Lars Gräning, Markus Olhofer, Bernhard Sendhoff
2008	J	`jnl`	Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries. J. Math. Model. Algorithms Lars Gräning, Stefan Menzel, Martina Hasenjäger, Thomas Bihrer, Markus Olhofer, Bernhard Sendhoff
2007	C	`conf`	Knowledge Extraction from Unstructured Surface Meshes. IDEAL Lars Gräning, Markus Olhofer, Bernhard Sendhoff
2006	A	`conf`	Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation. PPSN Stefan Menzel, Markus Olhofer, Bernhard Sendhoff
2005	J	`jnl`	Application reviews. Appl. Soft Comput. Frank Hoffmann, Xiao Zhi Gao, Markus Olhofer, Antony Satyadas
2005	A	`conf`	Morphing methods in evolutionary design optimization. GECCO Michael Nashvili, Markus Olhofer, Bernhard Sendhoff
2005	—	`conf`	On Evolutionary Optimization of Large Problems Using Small Populations. ICNC (2) Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2004	A	`conf`	Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures. PPSN Razvan Enache, Bernhard Sendhoff, Markus Olhofer, Martina Hasenjäger
2004	A	`conf`	On Test Functions for Evolutionary Multi-objective Optimization. PPSN Tatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2004	J	`jnl`	On the Impact of Systematic Noise on the Evolutionary Optimization Performance-A Sphere Model Analysis. Genet. Program. Evolvable Mach. Hans-Georg Beyer, Markus Olhofer, Bernhard Sendhoff
2004	B	`conf`	Voronoi-based estimation of distribution algorithm for multi-objective optimization. IEEE Congress on Evolutionary Computation Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff, Markus Olhofer
2003	B	`conf`	Comparative studies on micro heat exchanger optimisation. IEEE Congress on Evolutionary Computation Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin, Bernhard Sendhoff
2002	J	`jnl`	A framework for evolutionary optimization with approximate fitness functions. IEEE Trans. Evol. Comput. Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2002	A	`conf`	On the Behavior of (μ/μ FOGA Hans-Georg Beyer, Markus Olhofer, Bernhard Sendhoff
2002	—	`conf`	The Influence of stochastic Quality Functions on Evolutionary Search. SEAL Bernhard Sendhoff, Hans-Georg Beyer, Markus Olhofer
2001	B	`conf`	Adaptive encoding for aerodynamic shape optimization using evolution strategies. CEC Markus Olhofer, Yaochu Jin, Bernhard Sendhoff
2001	B	`conf`	Managing approximate models in evolutionary aerodynamic design optimization. CEC Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
2000	A	`conf`	On Evolutionary Optimization with Approximate Fitness Functions. GECCO Yaochu Jin, Markus Olhofer, Bernhard Sendhoff