Stefan Menzel

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 75

Top Topics

Evolutionary Optimization

Top Venues

IEEE Trans. Evol. Comput.

Publications

Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong
Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. CEC (2024)
Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model. CoRR (2024)
Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking. CoRR (2024)
Rodrigo Canaan, Xianbo Gao, Julian Togelius, Andy Nealen, Stefan Menzel
Generating and Adapting to Diverse Ad Hoc Partners in Hanabi. IEEE Trans. Games 15 (2) (2023)
Thiago Rios, Stefan Menzel, Bernhard Sendhoff
Large Language and Text-to-3D Models for Engineering Design Optimization. SSCI (2023)
Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives. CoRR (2023)
Thiago Rios, Stefan Menzel, Bernhard Sendhoff
Large Language and Text-to-3D Models for Engineering Design Optimization. CoRR (2023)
Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck
Evaluation of geometric similarity metrics for structural clusters generated using topology optimization. Appl. Intell. 53 (1) (2023)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. GECCO Companion (2023)
Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao
Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search. IEEE Trans. Evol. Comput. 26 (3) (2022)
Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck
Cooperative Multi-objective Topology Optimization Using Clustering and Metamodeling. CEC (2022)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. 26 (6) (2022)
Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization. PPSN (1) (2022)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation. CEC (2022)
Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation. IEEE Trans. Evol. Comput. 26 (2) (2022)
Patricia Wollstadt, Mariusz Bujny, Satchit Ramnath, Jami J. Shah, Duane Detwiler, Stefan Menzel
CarHoods10k: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications. IEEE Trans. Evol. Comput. 26 (6) (2022)
Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
An Efficient Contesting Procedure for AutoML Optimization. IEEE Access 10 (2022)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
What makes the dynamic capacitated Arc routing problem hard to solve: insights from fitness landscape analysis. GECCO (2022)
Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel
Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer. IJCNN (2022)
Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao
Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. IJCNN (2022)
Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
Efficient AutoML via Combinational Sampling. SSCI (2021)
Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, Thomas Bäck
Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems. DSAA (2021)
Stephen Friess, Peter Tiño, Zhao Xu, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization. IJCNN (2021)
Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
A new acquisition function for robust Bayesian optimization of unconstrained problems. GECCO Companion (2021)
Stephen Friess, Peter Tino, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems. SSCI (2021)
Sneha Saha, Thiago Rios, Leandro L. Minku, Bas van Stein, Patricia Wollstadt, Xin Yao, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
Exploiting Generative Models for Performance Predictions of 3D Car Designs. SSCI (2021)
Sneha Saha, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Stefan Menzel
Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization. CEC (2021)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
A hybrid local search framework for the dynamic capacitated arc routing problem. GECCO Companion (2021)
Thiago Rios, Bas van Stein, Patricia Wollstadt, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders. CEC (2021)
Timo Friedrich, Barbara Hammer, Stefan Menzel
Voxel-Based Three-Dimensional Neural Style Transfer. IWANN (1) (2021)
Thiago Rios, Bas van Stein, Thomas Bäck, Bernhard Sendhoff, Stefan Menzel
Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization. 3DV (2021)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems. CoRR (2021)
Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. CEC (2020)
Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao
A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem. SSCI (2020)
Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt
Feature Visualization for 3D Point Cloud Autoencoders. IJCNN (2020)
Ullah Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. IJCNN (2020)
Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators. CEC (2020)
Thiago Rios, Jiawen Kong, Bas van Stein, Thomas Bäck, Patricia Wollstadt, Bernhard Sendhoff, Stefan Menzel
Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds. SSCI (2020)
Felix Lanfermann, Sebastian Schmitt, Stefan Menzel
An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization. SSCI (2020)
Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Improving Sampling in Evolution Strategies Through Mixture-Based Distributions Built from Past Problem Instances. PPSN (1) (2020)
Rodrigo Canaan, Xianbo Gao, Youjin Chung, Julian Togelius, Andy Nealen, Stefan Menzel
Behavioral Evaluation of Hanabi Rainbow DQN Agents and Rule-Based Agents. AIIDE (2020)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems. PPSN (2) (2020)
Rodrigo Canaan, Xianbo Gao, Julian Togelius, Andy Nealen, Stefan Menzel
Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi. CoRR (2020)
Jiawen Kong, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck
Improving Imbalanced Classification by Anomaly Detection. PPSN (1) (2020)
Rodrigo Canaan, Xianbo Gao, Youjin Chung, Julian Togelius, Andy Nealen, Stefan Menzel
Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners. CoRR (2020)
Jiawen Kong, Thiago Rios, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck
On the Performance of Oversampling Techniques for Class Imbalance Problems. PAKDD (2) (2020)
Timo Friedrich, Patricia Wollstadt, Stefan Menzel
The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction. SSCI (2020)
Lars Kammann, Stefan Menzel, Mario Botsch
A Compact Patch-Based Representation for Technical Mesh Models. VMV (2020)
Sibghat Ullah, Duc Anh Nguyen, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization. SSCI (2020)
Sneha Saha, Stefan Menzel, Leandro L. Minku, Xin Yao, Bernhard Sendhoff, Patricia Wollstadt
Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds. SSCI (2020)
Stefan Menzel, Timo Friedrich
Addressing Complex Engineering Systems: The Value Of Evolvability. SSCI (2019)
Thiago Rios, Patricia Wollstadt, Bas van Stein, Thomas Bäck, Zhao Xu, Bernhard Sendhoff, Stefan Menzel
Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders. SSCI (2019)
Jiawen Kong, Wojtek Kowalczyk, Duc Anh Nguyen, Thomas Bäck, Stefan Menzel
Hyperparameter Optimisation for Improving Classification under Class Imbalance. SSCI (2019)
Ran Cheng, Mohammad Nabi Omidvar, Amir H. Gandomi, Bernhard Sendhoff, Stefan Menzel, Xin Yao
Solving Incremental Optimization Problems via Cooperative Coevolution. IEEE Trans. Evol. Comput. 23 (5) (2019)
Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. SSCI (2019)
Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Learning Transferable Variation Operators in a Continuous Genetic Algorithm. SSCI (2019)
Rodrigo Canaan, Julian Togelius, Andy Nealen, Stefan Menzel
Diverse Agents for Ad-Hoc Cooperation in Hanabi. CoRR (2019)
Sneha Saha, Thiago Rios, Leandro L. Minku, Xin Yao, Zhao Xu, Bernhard Sendhoff, Stefan Menzel
Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior. SSCI (2019)
Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck
Identifying Topological Prototypes using Deep Point Cloud Autoencoder Networks. ICDM Workshops (2019)
Rodrigo Canaan, Julian Togelius, Andy Nealen, Stefan Menzel
Diverse Agents for Ad-Hoc Cooperation in Hanabi. CoG (2019)
Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. SSCI (2019)
Sneha Saha, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck, Xin Yao, Zhao Xu, Patricia Wollstadt
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. ICDM Workshops (2019)
Thiago Rios, Bernhard Sendhoff, Stefan Menzel, Thomas Bäck, Bas van Stein
On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization. SSCI (2019)
Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao
Competitive Co-evolution for Dynamic Constrained Optimisation. CoRR (2019)
Timo Friedrich, Stefan Menzel
Standardization of Gram Matrix for Improved 3D Neural Style Transfer. SSCI (2019)
Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado, Julian Togelius, Andy Nealen, Stefan Menzel
Evolving Agents for the Hanabi 2018 CIG Competition. CIG (2018)
Andreas Richter, Stefan Dresselhaus, Stefan Menzel, Mario Botsch
Orthogonalization of linear representations for efficient evolutionary design optimization. GECCO (2018)
Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado, Julian Togelius, Andy Nealen, Stefan Menzel
Evolving Agents for the Hanabi 2018 CIG Competition. CoRR (2018)
Rodrigo Canaan, Stefan Menzel, Julian Togelius, Andy Nealen
Towards Game-based Metrics for Computational Co-Creativity. CIG (2018)
Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao
Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective. IEEE Trans. Evol. Comput. 22 (2) (2018)
Rodrigo Canaan, Stefan Menzel, Julian Togelius, Andy Nealen
Towards Game-based Metrics for Computational Co-creativity. CoRR (2018)
Andreas Richter, Jascha Achenbach, Stefan Menzel, Mario Botsch
Multi-objective Representation Setups for Deformation-Based Design Optimization. EMO (2017)
Andreas Richter, Stefan Menzel, Mario Botsch
Preference-guided adaptation of deformation representations for evolutionary design optimization. CEC (2017)
Andreas Richter, Jascha Achenbach, Stefan Menzel, Mario Botsch
Evolvability as a quality criterion for linear deformation representations in evolutionary optimization. CEC (2016)
Daniel Sieger, Sergius Gaulik, Jascha Achenbach, Stefan Menzel, Mario Botsch
Constrained space deformation techniques for design optimization. Comput. Aided Des. 72 (2016)
Andreas Richter, Mario Botsch, Stefan Menzel
Evolvability of representations in complex system engineering: A survey. CEC (2015)
Daniel Sieger, Stefan Menzel, Mario Botsch
RBF morphing techniques for simulation-based design optimization. Eng. Comput. 30 (2) (2014)
Timo Friedrich, Stefan Menzel
A cascaded evolutionary multi-objective optimization for solving the unbiased universal electric motor family problem. IEEE Congress on Evolutionary Computation (2014)
Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao
The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution. SEAL (2014)
Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Yaochu Jin, Bernhard Sendhoff
Evolution by Adapting Surrogates. Evol. Comput. 21 (2) (2013)
Henry Lehmann, Stefan Menzel
Evolvability as concept for the optimal design of free-form deformation control volumes. IEEE Congress on Evolutionary Computation (2012)
Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing
Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps. ICPRAM (2) (2012)
Daniel Sieger, Stefan Menzel, Mario Botsch
High Quality Mesh Morphing Using Triharmonic Radial Basis Functions. IMR (2012)
Lars Gräning, Stefan Menzel, Thomas Ramsay, Bernhard Sendhoff
Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization. ICGEC (2012)
Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Chun-Wei Seah, Bernhard Sendhoff
Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems. IEEE Congress on Evolutionary Computation (2012)
Stefan Menzel
Evolvable free-form deformation control volumes for evolutionary design optimization. IEEE Congress on Evolutionary Computation (2011)
Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing
Correlating Shape and Functional Properties Using Decomposition Approaches. FLAIRS Conference (2010)
Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing
Finding correlations in multimodal data using decomposition approaches. ESANN (2010)
Lars Gräning, Stefan Menzel, Martina Hasenjäger, Thomas Bihrer, Markus Olhofer, Bernhard Sendhoff
Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries. J. Math. Model. Algorithms 7 (4) (2008)
Zdravko Bozakov, Lars Gräning, Stephan Hasler, Heiko Wersing, Stefan Menzel
Unsupervised extraction of design components for a 3D parts-based representation. IJCNN (2008)
Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick
Word Recognition with a Hierarchical Neural Network. NOLISP (2007)
Stefan Menzel, Markus Olhofer, Bernhard Sendhoff
Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation. PPSN (2006)