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2020 – today
- 2024
[c68]Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong:
Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. CEC 2024: 1-8- [i11]Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong:
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model. CoRR abs/2406.09143 (2024) - [i10]Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong:
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking. CoRR abs/2406.14917 (2024) - 2023
- [j13]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): 904-929 (2023) - [j12]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): 228-241 (2023) - [c67]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: 45-46 - [c66]Thiago Rios, Stefan Menzel, Bernhard Sendhoff:
Large Language and Text-to-3D Models for Engineering Design Optimization. SSCI 2023: 1704-1711 - [i9]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 abs/2306.10668 (2023) - [i8]Thiago Rios, Stefan Menzel, Bernhard Sendhoff:
Large Language and Text-to-3D Models for Engineering Design Optimization. CoRR abs/2307.01230 (2023) - 2022
- [j11]Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
An Efficient Contesting Procedure for AutoML Optimization. IEEE Access 10: 75754-75771 (2022) - [j10]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): 206-217 (2022) - [j9]Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao:
Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search. IEEE Trans. Evol. Comput. 26(3): 431-445 (2022) - [j8]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): 1221-1235 (2022) - [j7]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): 1486-1500 (2022) - [c65]Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck:
Cooperative Multi-objective Topology Optimization Using Clustering and Metamodeling. CEC 2022: 1-8 - [c64]Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation. CEC 2022: 1-8 - [c63]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: 305-313 - [c62]Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao:
Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. IJCNN 2022: 1-8 - [c61]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: 1-9 - [c60]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: 63-75 - 2021
- [c59]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: 1024-1033 - [c58]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: 514-521 - [c57]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: 1767-1776 - [c56]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: 1-9 - [c55]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: 139-140 - [c54]Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
A new acquisition function for robust Bayesian optimization of unconstrained problems. GECCO Companion 2021: 1344-1345 - [c53]Stephen Friess, Peter Tiño, Zhao Xu, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization. IJCNN 2021: 1-9 - [c52]Timo Friedrich, Barbara Hammer, Stefan Menzel:
Voxel-Based Three-Dimensional Neural Style Transfer. IWANN (1) 2021: 334-346 - [c51]Stephen Friess, Peter Tino, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems. SSCI 2021: 1-7 - [c50]Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
Efficient AutoML via Combinational Sampling. SSCI 2021: 1-10 - [c49]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: 1-9 - [i7]Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems. CoRR abs/2104.06585 (2021) - 2020
- [c48]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: 31-37 - [c47]Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators. CEC 2020: 1-7 - [c46]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: 1-8 - [c45]Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt:
Feature Visualization for 3D Point Cloud Autoencoders. IJCNN 2020: 1-9 - [c44]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: 1-9 - [c43]Jiawen Kong, Thiago Rios, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck:
On the Performance of Oversampling Techniques for Class Imbalance Problems. PAKDD (2) 2020: 84-96 - [c42]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: 428-440 - [c41]Jiawen Kong, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck:
Improving Imbalanced Classification by Anomaly Detection. PPSN (1) 2020: 512-523 - [c40]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: 583-596 - [c39]Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao:
A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem. SSCI 2020: 305-312 - [c38]Felix Lanfermann, Sebastian Schmitt, Stefan Menzel:
An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization. SSCI 2020: 934-941 - [c37]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: 942-949 - [c36]Timo Friedrich, Patricia Wollstadt, Stefan Menzel:
The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction. SSCI 2020: 1460-1468 - [c35]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: 1469-1477 - [c34]Sibghat Ullah, Duc Anh Nguyen, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization. SSCI 2020: 2965-2974 - [c33]Lars Kammann, Stefan Menzel, Mario Botsch:
A Compact Patch-Based Representation for Technical Mesh Models. VMV 2020: 1-8 - [d6]Jiawen Kong, Wojtek Kowalczyk, Duc Anh Nguyen, Stefan Menzel, Thomas Bäck:
Hyperparameter Optimisation for Improving Classification under Class Imbalance. Zenodo, 2020
- [d5]Jiawen Kong, Thiago Rios, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck:
On the Performance of Oversampling Techniques for Class Imbalance Problems. Zenodo, 2020 - [d4]Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. Zenodo, 2020 - [d3]Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. Zenodo, 2020 - [d2]Sibghat Ullah, Hao Wang, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff:
An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. Zenodo, 2020 - [d1]Sibghat Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff:
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. Zenodo, 2020 - [i6]Rodrigo Canaan, Xianbo Gao, Youjin Chung, Julian Togelius, Andy Nealen, Stefan Menzel:
Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners. CoRR abs/2004.13291 (2020) - [i5]Rodrigo Canaan, Xianbo Gao, Julian Togelius, Andy Nealen, Stefan Menzel:
Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi. CoRR abs/2004.13710 (2020)
2010 – 2019
- 2019
- [j6]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): 762-775 (2019) - [c32]Rodrigo Canaan, Julian Togelius, Andy Nealen, Stefan Menzel:
Diverse Agents for Ad-Hoc Cooperation in Hanabi. CoG 2019: 1-8 - [c31]Nivesh Dommaraju, Mariusz Bujny, Stefan Menzel, Markus Olhofer, Fabian Duddeck:
Identifying Topological Prototypes using Deep Point Cloud Autoencoder Networks. ICDM Workshops 2019: 761-768 - [c30]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: 785-792 - [c29]Stefan Menzel, Timo Friedrich:
Addressing Complex Engineering Systems: The Value Of Evolvability. SSCI 2019: 731-739 - [c28]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: 791-798 - [c27]Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. SSCI 2019: 819-828 - [c26]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: 858-866 - [c25]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: 1367-1374 - [c24]Timo Friedrich, Stefan Menzel:
Standardization of Gram Matrix for Improved 3D Neural Style Transfer. SSCI 2019: 1375-1382 - [c23]Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Learning Transferable Variation Operators in a Continuous Genetic Algorithm. SSCI 2019: 2027-2033 - [c22]Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. SSCI 2019: 2034-2041 - [c21]Jiawen Kong, Wojtek Kowalczyk, Duc Anh Nguyen, Thomas Bäck, Stefan Menzel:
Hyperparameter Optimisation for Improving Classification under Class Imbalance. SSCI 2019: 3072-3078 - [i4]Rodrigo Canaan, Julian Togelius, Andy Nealen, Stefan Menzel:
Diverse Agents for Ad-Hoc Cooperation in Hanabi. CoRR abs/1907.03840 (2019) - [i3]Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao:
Competitive Co-evolution for Dynamic Constrained Optimisation. CoRR abs/1907.13529 (2019) - 2018
- [j5]Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao:
Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective. IEEE Trans. Evol. Comput. 22(2): 173-188 (2018) - [c20]Rodrigo Canaan, Stefan Menzel, Julian Togelius, Andy Nealen:
Towards Game-based Metrics for Computational Co-Creativity. CIG 2018: 1-8 - [c19]Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado, Julian Togelius, Andy Nealen, Stefan Menzel:
Evolving Agents for the Hanabi 2018 CIG Competition. CIG 2018: 1-8 - [c18]Andreas Richter, Stefan Dresselhaus, Stefan Menzel, Mario Botsch:
Orthogonalization of linear representations for efficient evolutionary design optimization. GECCO 2018: 1356-1363 - [i2]Rodrigo Canaan, Stefan Menzel, Julian Togelius, Andy Nealen:
Towards Game-based Metrics for Computational Co-creativity. CoRR abs/1809.09762 (2018) - [i1]Rodrigo Canaan, Haotian Shen, Ruben Rodriguez Torrado, Julian Togelius, Andy Nealen, Stefan Menzel:
Evolving Agents for the Hanabi 2018 CIG Competition. CoRR abs/1809.09764 (2018) - 2017
- [c17]Andreas Richter, Stefan Menzel, Mario Botsch:
Preference-guided adaptation of deformation representations for evolutionary design optimization. CEC 2017: 2110-2119 - [c16]Andreas Richter, Jascha Achenbach, Stefan Menzel, Mario Botsch:
Multi-objective Representation Setups for Deformation-Based Design Optimization. EMO 2017: 514-528 - 2016
- [j4]Daniel Sieger, Sergius Gaulik, Jascha Achenbach, Stefan Menzel, Mario Botsch:
Constrained space deformation techniques for design optimization. Comput. Aided Des. 72: 40-51 (2016) - [c15]Andreas Richter, Jascha Achenbach, Stefan Menzel, Mario Botsch:
Evolvability as a quality criterion for linear deformation representations in evolutionary optimization. CEC 2016: 901-910 - 2015
- [c14]Andreas Richter, Mario Botsch, Stefan Menzel:
Evolvability of representations in complex system engineering: A survey. CEC 2015: 1327-1335 - [p2]Martin Punke, Stefan Menzel, Boris Werthessen, Nicolaj C. Stache, Maximilian Höpfl:
Kamera-Hardware. Handbuch Fahrerassistenzsysteme 2015: 347-368 - 2014
- [j3]Daniel Sieger, Stefan Menzel, Mario Botsch:
RBF morphing techniques for simulation-based design optimization. Eng. Comput. 30(2): 161-174 (2014) - [c13]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: 3184-3191 - [c12]Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao:
The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution. SEAL 2014: 82-93 - 2013
- [j2]Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Yaochu Jin, Bernhard Sendhoff:
Evolution by Adapting Surrogates. Evol. Comput. 21(2): 313-340 (2013) - 2012
- [c11]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: 1-8 - [c10]Henry Lehmann, Stefan Menzel:
Evolvability as concept for the optimal design of free-form deformation control volumes. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c9]Lars Gräning, Stefan Menzel, Thomas Ramsay, Bernhard Sendhoff:
Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization. ICGEC 2012: 417-420 - [c8]Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing:
Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps. ICPRAM (2) 2012: 585-589 - [c7]Daniel Sieger, Stefan Menzel, Mario Botsch:
High Quality Mesh Morphing Using Triharmonic Radial Basis Functions. IMR 2012: 1-15 - 2011
- [c6]Stefan Menzel:
Evolvable free-form deformation control volumes for evolutionary design optimization. IEEE Congress on Evolutionary Computation 2011: 1388-1395 - 2010
- [c5]Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing:
Finding correlations in multimodal data using decomposition approaches. ESANN 2010 - [c4]Daniel Dornbusch, Robert Haschke, Stefan Menzel, Heiko Wersing:
Correlating Shape and Functional Properties Using Decomposition Approaches. FLAIRS 2010
2000 – 2009
- 2008
- [j1]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): 329-350 (2008) - [c3]Zdravko Bozakov, Lars Gräning, Stephan Hasler, Heiko Wersing, Stefan Menzel:
Unsupervised extraction of design components for a 3D parts-based representation. IJCNN 2008: 2009-2016 - [p1]Stefan Menzel, Bernhard Sendhoff:
Representing the Change - Free Form Deformation for Evolutionary Design Optimization. Evolutionary Computation in Practice 2008: 63-86 - 2007
- [c2]Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick:
Word Recognition with a Hierarchical Neural Network. NOLISP 2007: 142-151 - 2006
- [c1]Stefan Menzel, Markus Olhofer, Bernhard Sendhoff:
Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation. PPSN 2006: 352-361
Coauthor Index
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