Stefan Menzel - RankMe

106 papers A 3B 22C 2Misc 1Journal 33Unranked 43

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Controlled Agentic Planning & Reasoning for Mechanism Synthesis. CoRR João Pedro Gandarela de Souza, Thiago Rios, Stefan Menzel, André Freitas
2025	J	`jnl`	Evolutionary Computation as Natural Generative AI. CoRR Yaxin Shi, Abhishek Gupta, Ying Wu, Melvin Wong, Ivor W. Tsang, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Yaqing Hou, Yew-Soon Ong
2025	J	`jnl`	From Idea to CAD: A Language Model-Driven Multi-Agent System for Collaborative Design. CoRR Felix Ocker, Stefan Menzel, Ahmed Sadik, Thiago Rios
2025	J	`jnl`	LLM-to-Phy3D: Physically Conform Online 3D Object Generation with LLMs. CoRR Melvin Wong, Yueming Lyu, Thiago Rios, Stefan Menzel, Yew-Soon Ong
2025	J	`jnl`	LLM2TEA: An Agentic AI Designer for Discovery With Generative Evolutionary Multitasking. IEEE Comput. Intell. Mag. Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew-Soon Ong
2025	J	`jnl`	Learning to Expand/Contract Pareto Sets in Dynamic Multiobjective Optimization With a Changing Number of Objectives. IEEE Trans. Evol. Comput. Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2025	J	`jnl`	Principles and Metrics for Curating Large Engineering Simulation Datasets for Machine Learning. J. Comput. Inf. Sci. Eng. Jami J. Shah, Satchit Ramnath, Stefan Menzel, Thiago Rios, Fatma Kocer, Eamon Whalen, Joseph Pajot, Alex Adrian, Prakash Kumar
2025	J	`jnl`	Understanding Collective Social Behavior in OSS Communities: A Co-editing Network Analysis of Activity Cascades. CoRR Lisi Qarkaxhija, Maximilian Carparo, Stefan Menzel, Bernhard Sendhoff, Ingo Scholtes
2024	J	`jnl`	Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model. CoRR Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong
2024	J	`jnl`	Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives. IEEE Trans. Emerg. Top. Comput. Intell. Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2024	J	`jnl`	LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking. CoRR Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong
2024	—	`conf`	Large Language Model-assisted Clustering and Concept Identification of Engineering Design Data. CAI Felix Lanfermann, Thiago Rios, Stefan Menzel
2024	—	`conf`	Large Language Model-assisted Surrogate Modelling for Engineering Optimization. CAI Thiago Rios, Felix Lanfermann, Stefan Menzel
2024	B	`conf`	Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. CEC Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong
2024	—	`conf`	Towards End-to-End Prompt-Vision-Physics Neural Network for Fast Design Discovery. CAI Qingshan Xu, Jiao Liu, Melvin Wong, Ge Jin, Ryan Lau, Yew-Soon Ong, Stefan Menzel, Thiago Rios, Joo-Hwee Lim, Chin Chun Ooi
2023	—	`conf`	A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. GECCO Companion Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
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	J	`jnl`	Generating and Adapting to Diverse Ad Hoc Partners in Hanabi. IEEE Trans. Games Rodrigo Canaan, Xianbo Gao, Julian Togelius, Andy Nealen, Stefan Menzel
2023	J	`jnl`	Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives. CoRR Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2023	—	`conf`	Large Language and Text-to-3D Models for Engineering Design Optimization. SSCI Thiago Rios, Stefan Menzel, Bernhard Sendhoff
2023	J	`jnl`	Large Language and Text-to-3D Models for Engineering Design Optimization. CoRR Thiago Rios, Stefan Menzel, Bernhard Sendhoff
2022	J	`jnl`	A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
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	B	`conf`	Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation. CEC Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2022	J	`jnl`	CarHoods10k: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications. IEEE Trans. Evol. Comput. Patricia Wollstadt, Mariusz Bujny, Satchit Ramnath, Jami J. Shah, Duane Detwiler, Stefan Menzel
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`	Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search. IEEE Trans. Evol. Comput. Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao
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	B	`conf`	Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. IJCNN Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao
2022	B	`conf`	Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer. IJCNN Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel
2022	A	`conf`	What makes the dynamic capacitated Arc routing problem hard to solve: insights from fitness landscape analysis. GECCO Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2021	J	`jnl`	A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems. CoRR Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2021	—	`conf`	A hybrid local search framework for the dynamic capacitated arc routing problem. GECCO Companion Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
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	B	`conf`	Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization. IJCNN Stephen Friess, Peter Tiño, Zhao Xu, Stefan Menzel, Bernhard Sendhoff, Xin Yao
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 Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization. CEC Sneha Saha, Leandro L. Minku, Xin Yao, 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	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	—	`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	—	`conf`	Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems. SSCI Stephen Friess, Peter Tino, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2021	—	`conf`	Voxel-Based Three-Dimensional Neural Style Transfer. IWANN (1) Timo Friedrich, Barbara Hammer, Stefan Menzel
2020	—	`conf`	A Compact Patch-Based Representation for Technical Mesh Models. VMV Lars Kammann, Stefan Menzel, Mario Botsch
2020	—	`conf`	A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem. SSCI Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao
2020	—	`conf`	An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization. SSCI Felix Lanfermann, Sebastian Schmitt, Stefan Menzel
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	—	`conf`	Behavioral Evaluation of Hanabi Rainbow DQN Agents and Rule-Based Agents. AIIDE Rodrigo Canaan, Xianbo Gao, Youjin Chung, Julian Togelius, Andy Nealen, Stefan Menzel
2020	B	`conf`	Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. CEC Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2020	J	`jnl`	Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners. CoRR Rodrigo Canaan, Xianbo Gao, Youjin Chung, Julian Togelius, Andy Nealen, Stefan Menzel
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`	Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi. CoRR Rodrigo Canaan, Xianbo Gao, Julian Togelius, Andy Nealen, Stefan Menzel
2020	—	`conf`	Improving Imbalanced Classification by Anomaly Detection. PPSN (1) Jiawen Kong, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck
2020	—	`conf`	Improving Sampling in Evolution Strategies Through Mixture-Based Distributions Built from Past Problem Instances. PPSN (1) Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao
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	—	`conf`	Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds. SSCI Sneha Saha, Stefan Menzel, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Patricia Wollstadt
2020	B	`conf`	Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators. CEC Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2020	—	`conf`	The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction. SSCI Timo Friedrich, Patricia Wollstadt, Stefan Menzel
2020	—	`conf`	Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems. PPSN (2) Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2019	—	`conf`	Addressing Complex Engineering Systems: The Value Of Evolvability. SSCI Stefan Menzel, Timo Friedrich
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	J	`jnl`	Competitive Co-evolution for Dynamic Constrained Optimisation. CoRR Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao
2019	C	`conf`	Diverse Agents for Ad-Hoc Cooperation in Hanabi. CoG Rodrigo Canaan, Julian Togelius, Andy Nealen, Stefan Menzel
2019	J	`jnl`	Diverse Agents for Ad-Hoc Cooperation in Hanabi. CoRR Rodrigo Canaan, Julian Togelius, Andy Nealen, Stefan Menzel
2019	—	`conf`	Hyperparameter Optimisation for Improving Classification under Class Imbalance. SSCI Jiawen Kong, Wojtek Kowalczyk, Duc Anh Nguyen, Thomas Bäck, Stefan Menzel
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`	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	—	`conf`	Learning Transferable Variation Operators in a Continuous Genetic Algorithm. SSCI Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao
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`	Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior. SSCI Sneha Saha, Thiago Rios, Leandro L. Minku, Xin Yao, Zhao Xu, Bernhard Sendhoff, Stefan Menzel
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	J	`jnl`	Solving Incremental Optimization Problems via Cooperative Coevolution. IEEE Trans. Evol. Comput. Ran Cheng, Mohammad Nabi Omidvar, Amir H. Gandomi, Bernhard Sendhoff, Stefan Menzel, Xin Yao
2019	—	`conf`	Standardization of Gram Matrix for Improved 3D Neural Style Transfer. SSCI Timo Friedrich, Stefan Menzel
2019	—	`conf`	When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. SSCI Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
2018	J	`jnl`	Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective. IEEE Trans. Evol. Comput. Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao
2018	—	`conf`	Evolving Agents for the Hanabi 2018 CIG Competition. CIG Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado, Julian Togelius, Andy Nealen, Stefan Menzel
2018	J	`jnl`	Evolving Agents for the Hanabi 2018 CIG Competition. CoRR Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado, Julian Togelius, Andy Nealen, Stefan Menzel
2018	A	`conf`	Orthogonalization of linear representations for efficient evolutionary design optimization. GECCO Andreas Richter, Stefan Dresselhaus, Stefan Menzel, Mario Botsch
2018	—	`conf`	Towards Game-based Metrics for Computational Co-Creativity. CIG Rodrigo Canaan, Stefan Menzel, Julian Togelius, Andy Nealen
2018	J	`jnl`	Towards Game-based Metrics for Computational Co-creativity. CoRR Rodrigo Canaan, Stefan Menzel, Julian Togelius, Andy Nealen
2017	C	`conf`	Multi-objective Representation Setups for Deformation-Based Design Optimization. EMO Andreas Richter, Jascha Achenbach, Stefan Menzel, Mario Botsch
2017	B	`conf`	Preference-guided adaptation of deformation representations for evolutionary design optimization. CEC Andreas Richter, Stefan Menzel, Mario Botsch
2016	J	`jnl`	Constrained space deformation techniques for design optimization. Comput. Aided Des. Daniel Sieger, Sergius Gaulik, Jascha Achenbach, Stefan Menzel, Mario Botsch
2016	B	`conf`	Evolvability as a quality criterion for linear deformation representations in evolutionary optimization. CEC Andreas Richter, Jascha Achenbach, Stefan Menzel, Mario Botsch
2015	B	`conf`	Evolvability of representations in complex system engineering: A survey. CEC Andreas Richter, Mario Botsch, Stefan Menzel
2015	—	`ch.`	Kamera-Hardware. Handbuch Fahrerassistenzsysteme Martin Punke, Stefan Menzel, Boris Werthessen, Nicolaj C. Stache, Maximilian Höpfl
2014	B	`conf`	A cascaded evolutionary multi-objective optimization for solving the unbiased universal electric motor family problem. IEEE Congress on Evolutionary Computation Timo Friedrich, Stefan Menzel
2014	J	`jnl`	RBF morphing techniques for simulation-based design optimization. Eng. Comput. Daniel Sieger, Stefan Menzel, Mario Botsch
2014	—	`conf`	The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution. SEAL Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao
2013	J	`jnl`	Evolution by Adapting Surrogates. Evol. Comput. Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Yaochu Jin, Bernhard Sendhoff
2012	—	`conf`	Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization. ICGEC Lars Gräning, Stefan Menzel, Thomas Ramsay, Bernhard Sendhoff
2012	—	`conf`	Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps. ICPRAM (2) Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing
2012	B	`conf`	Evolvability as concept for the optimal design of free-form deformation control volumes. IEEE Congress on Evolutionary Computation Henry Lehmann, Stefan Menzel
2012	—	`conf`	High Quality Mesh Morphing Using Triharmonic Radial Basis Functions. IMR Daniel Sieger, Stefan Menzel, Mario Botsch
2012	B	`conf`	Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems. IEEE Congress on Evolutionary Computation Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Chun-Wei Seah, Bernhard Sendhoff
2011	B	`conf`	Evolvable free-form deformation control volumes for evolutionary design optimization. IEEE Congress on Evolutionary Computation Stefan Menzel
2010	Misc	`conf`	Correlating Shape and Functional Properties Using Decomposition Approaches. FLAIRS Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing
2010	B	`conf`	Finding correlations in multimodal data using decomposition approaches. ESANN Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing
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
2008	—	`ch.`	Representing the Change - Free Form Deformation for Evolutionary Design Optimization. Evolutionary Computation in Practice Stefan Menzel, Bernhard Sendhoff
2008	B	`conf`	Unsupervised extraction of design components for a 3D parts-based representation. IJCNN Zdravko Bozakov, Lars Gräning, Stephan Hasler, Heiko Wersing, Stefan Menzel
2007	—	`conf`	Word Recognition with a Hierarchical Neural Network. NOLISP Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick
2006	A	`conf`	Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation. PPSN Stefan Menzel, Markus Olhofer, Bernhard Sendhoff