Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation. - Stefan Menzel; Markus Olhofer; Bernhard Sendhoff (PPSN, 2006)

Word Recognition with a Hierarchical Neural Network. - Xavier Domont; Martin Heckmann; Heiko Wersing; Frank Joublin; Stefan Menzel; Bernhard Sendhoff; Christian Goerick (NOLISP, 2007)

Unsupervised extraction of design components for a 3D parts-based representation. - Zdravko Bozakov; Lars Gräning; Stephan Hasler; Heiko Wersing; Stefan Menzel (IJCNN, 2008)

Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries. - Lars Gräning; Stefan Menzel; Martina Hasenjäger; Thomas Bihrer; Markus Olhofer; Bernhard Sendhoff (J. Math. Model. Algorithms, 2008)

Representing the Change - Free Form Deformation for Evolutionary Design Optimization. - Stefan Menzel; Bernhard Sendhoff (Evolutionary Computation in Practice, 2008)

Finding correlations in multimodal data using decomposition approaches. - Daniel Dornbusch; Robert Haschke; Stefan Menzel; Heiko Wersing (ESANN, 2010)

Correlating Shape and Functional Properties Using Decomposition Approaches. - Daniel Dornbusch; Robert Haschke; Stefan Menzel; Heiko Wersing (FLAIRS, 2010)

Evolvable free-form deformation control volumes for evolutionary design optimization. - Stefan Menzel (IEEE Congress on Evolutionary Computation, 2011)

Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems. - Minh Nghia Le; Yew-Soon Ong; Stefan Menzel; Chun-Wei Seah; Bernhard Sendhoff (IEEE Congress on Evolutionary Computation, 2012)

Evolvability as concept for the optimal design of free-form deformation control volumes. - Henry Lehmann; Stefan Menzel (IEEE Congress on Evolutionary Computation, 2012)

Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization. - Lars Gräning; Stefan Menzel; Thomas Ramsay; Bernhard Sendhoff (ICGEC, 2012)

Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps. - Daniel Dornbusch; Robert Haschke; Stefan Menzel; Heiko Wersing (ICPRAM (2), 2012)

High Quality Mesh Morphing Using Triharmonic Radial Basis Functions. - Daniel Sieger; Stefan Menzel; Mario Botsch (IMR, 2012)

Evolution by Adapting Surrogates. - Minh Nghia Le; Yew-Soon Ong; Stefan Menzel; Yaochu Jin; Bernhard Sendhoff (Evol. Comput., 2013)

A cascaded evolutionary multi-objective optimization for solving the unbiased universal electric motor family problem. - Timo Friedrich; Stefan Menzel (IEEE Congress on Evolutionary Computation, 2014)

The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution. - Xiaofen Lu; Stefan Menzel; Ke Tang 001; Xin Yao 001 (SEAL, 2014)

RBF morphing techniques for simulation-based design optimization. - Daniel Sieger; Stefan Menzel; Mario Botsch (Eng. Comput., 2014)

Kamera-Hardware. - Martin Punke; Stefan Menzel; Boris Werthessen; Nicolaj C. Stache; Maximilian Höpfl (Handbuch Fahrerassistenzsysteme, 2015)

Evolvability of representations in complex system engineering: A survey. - Andreas Richter 003; Mario Botsch; Stefan Menzel (CEC, 2015)

Evolvability as a quality criterion for linear deformation representations in evolutionary optimization. - Andreas Richter 003; Jascha Achenbach; Stefan Menzel; Mario Botsch (CEC, 2016)

Constrained space deformation techniques for design optimization. - Daniel Sieger; Sergius Gaulik; Jascha Achenbach; Stefan Menzel; Mario Botsch (Comput. Aided Des., 2016)

Preference-guided adaptation of deformation representations for evolutionary design optimization. - Andreas Richter 003; Stefan Menzel; Mario Botsch (CEC, 2017)

Multi-objective Representation Setups for Deformation-Based Design Optimization. - Andreas Richter 003; Jascha Achenbach; Stefan Menzel; Mario Botsch (EMO, 2017)

Towards Game-based Metrics for Computational Co-Creativity. - Rodrigo Canaan; Stefan Menzel; Julian Togelius; Andy Nealen (CIG, 2018)

Evolving Agents for the Hanabi 2018 CIG Competition. - Rodrigo Canaan; Haotian Shen; Ruben Rodriguez Torrado; Julian Togelius; Andy Nealen; Stefan Menzel (CIG, 2018)

Orthogonalization of linear representations for efficient evolutionary design optimization. - Andreas Richter 003; Stefan Dresselhaus; Stefan Menzel; Mario Botsch (GECCO, 2018)

Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective. - Xiaofen Lu; Stefan Menzel; Ke Tang 001; Xin Yao 001 (IEEE Trans. Evol. Comput., 2018)

Diverse Agents for Ad-Hoc Cooperation in Hanabi. - Rodrigo Canaan; Julian Togelius; Andy Nealen; Stefan Menzel (CoG, 2019)

Identifying Topological Prototypes using Deep Point Cloud Autoencoder Networks. - Nivesh Dommaraju; Mariusz Bujny; Stefan Menzel; Markus Olhofer; Fabian Duddeck (ICDM Workshops, 2019)

Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks. - Sneha Saha; Thiago Rios; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck; Xin Yao 001; Zhao Xu 001; Patricia Wollstadt (ICDM Workshops, 2019)

Standardization of Gram Matrix for Improved 3D Neural Style Transfer. - Timo Friedrich; Stefan Menzel (SSCI, 2019)

Learning Transferable Variation Operators in a Continuous Genetic Algorithm. - Stephen Friess; Peter Tiño; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (SSCI, 2019)

Hyperparameter Optimisation for Improving Classification under Class Imbalance. - Jiawen Kong; Wojtek Kowalczyk; Duc Anh Nguyen; Thomas Bäck; Stefan Menzel (SSCI, 2019)

Addressing Complex Engineering Systems: The Value Of Evolvability. - Stefan Menzel; Timo Friedrich (SSCI, 2019)

On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization. - Thiago Rios; Bernhard Sendhoff; Stefan Menzel; Thomas Bäck; Bas van Stein (SSCI, 2019)

Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders. - Thiago Rios; Patricia Wollstadt; Bas van Stein; Thomas Bäck; Zhao Xu 001; Bernhard Sendhoff; Stefan Menzel (SSCI, 2019)

When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (SSCI, 2019)

Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior. - Sneha Saha; Thiago Rios; Leandro L. Minku; Xin Yao 001; Zhao Xu 001; Bernhard Sendhoff; Stefan Menzel (SSCI, 2019)

An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. - Sibghat Ullah; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (SSCI, 2019)

Competitive Co-evolution for Dynamic Constrained Optimisation. - Xiaofen Lu; Ke Tang 001; Stefan Menzel; Xin Yao 001 (CoRR, 2019)

Solving Incremental Optimization Problems via Cooperative Coevolution. - Ran Cheng; Mohammad Nabi Omidvar; Amir H. Gandomi; Bernhard Sendhoff; Stefan Menzel; Xin Yao 001 (IEEE Trans. Evol. Comput., 2019)

Behavioral Evaluation of Hanabi Rainbow DQN Agents and Rule-Based Agents. - Rodrigo Canaan; Xianbo Gao; Youjin Chung; Julian Togelius; Andy Nealen; Stefan Menzel (AIIDE, 2020)

Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators. - Stephen Friess; Peter Tiño; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (CEC, 2020)

Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (CEC, 2020)

Feature Visualization for 3D Point Cloud Autoencoders. - Thiago Rios; Bas van Stein; Stefan Menzel; Thomas Bäck; Bernhard Sendhoff; Patricia Wollstadt (IJCNN, 2020)

Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. - Ullah Ullah; Zhao Xu 001; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (IJCNN, 2020)

On the Performance of Oversampling Techniques for Class Imbalance Problems. - Jiawen Kong; Thiago Rios; Wojtek Kowalczyk; Stefan Menzel; Thomas Bäck (PAKDD (2), 2020)

Improving Sampling in Evolution Strategies Through Mixture-Based Distributions Built from Past Problem Instances. - Stephen Friess; Peter Tiño; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (PPSN (1), 2020)

Improving Imbalanced Classification by Anomaly Detection. - Jiawen Kong; Wojtek Kowalczyk; Stefan Menzel; Thomas Bäck (PPSN (1), 2020)

Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (PPSN (2), 2020)

The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction. - Timo Friedrich; Patricia Wollstadt; Stefan Menzel (SSCI, 2020)

An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization. - Felix Lanfermann; Sebastian Schmitt; Stefan Menzel (SSCI, 2020)

A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem. - Xiaofen Lu; Ke Tang 001; Stefan Menzel; Xin Yao 001 (SSCI, 2020)

Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds. - Thiago Rios; Jiawen Kong; Bas van Stein; Thomas Bäck; Patricia Wollstadt; Bernhard Sendhoff; Stefan Menzel (SSCI, 2020)

Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds. - Sneha Saha; Stefan Menzel; Leandro L. Minku; Xin Yao 001; Bernhard Sendhoff; Patricia Wollstadt (SSCI, 2020)

Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization. - Sibghat Ullah; Duc Anh Nguyen; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (SSCI, 2020)

A Compact Patch-Based Representation for Technical Mesh Models. - Lars Kammann; Stefan Menzel; Mario Botsch (VMV, 2020)

Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners. - Rodrigo Canaan; Xianbo Gao; Youjin Chung; Julian Togelius; Andy Nealen; Stefan Menzel (CoRR, 2020)

Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi. - Rodrigo Canaan; Xianbo Gao; Julian Togelius; Andy Nealen; Stefan Menzel (CoRR, 2020)

Hyperparameter Optimisation for Improving Classification under Class Imbalance. - Jiawen Kong; Wojtek Kowalczyk; Duc Anh Nguyen; Stefan Menzel; Thomas Bäck (Zenodo, 2020)

When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (Zenodo, 2020)

An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. - Sibghat Ullah; Hao Wang 025; Stefan Menzel; Thomas Bäck; Bernhard Sendhoff (Zenodo, 2020)

On the Performance of Oversampling Techniques for Class Imbalance Problems. - Jiawen Kong; Thiago Rios; Wojtek Kowalczyk; Stefan Menzel; Thomas Bäck (Zenodo, 2020)

Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (Zenodo, 2020)

Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. - Sibghat Ullah; Zhao Xu 001; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff (Zenodo, 2020)

Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization. - Thiago Rios; Bas van Stein; Thomas Bäck; Bernhard Sendhoff; Stefan Menzel (3DV, 2021)

Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders. - Thiago Rios; Bas van Stein; Patricia Wollstadt; Thomas Bäck; Bernhard Sendhoff; Stefan Menzel (CEC, 2021)

Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization. - Sneha Saha; Leandro L. Minku; Xin Yao 001; Bernhard Sendhoff; Stefan Menzel (CEC, 2021)

Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems. - Duc Anh Nguyen; Jiawen Kong; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff; Anna V. Kononova; Thomas Bäck (DSAA, 2021)

A hybrid local search framework for the dynamic capacitated arc routing problem. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (GECCO Companion, 2021)

A new acquisition function for robust Bayesian optimization of unconstrained problems. - Sibghat Ullah; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (GECCO Companion, 2021)

Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization. - Stephen Friess; Peter Tiño; Zhao Xu 001; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (IJCNN, 2021)

Voxel-Based Three-Dimensional Neural Style Transfer. - Timo Friedrich; Barbara Hammer; Stefan Menzel (IWANN (1), 2021)

Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems. - Stephen Friess; Peter Tino; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (SSCI, 2021)

Efficient AutoML via Combinational Sampling. - Duc Anh Nguyen; Anna V. Kononova; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (SSCI, 2021)

Exploiting Generative Models for Performance Predictions of 3D Car Designs. - Sneha Saha; Thiago Rios; Leandro L. Minku; Bas van Stein; Patricia Wollstadt; Xin Yao 001; Thomas Bäck; Bernhard Sendhoff; Stefan Menzel (SSCI, 2021)

A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (CoRR, 2021)

Cooperative Multi-objective Topology Optimization Using Clustering and Metamodeling. - Nivesh Dommaraju; Mariusz Bujny; Stefan Menzel; Markus Olhofer; Fabian Duddeck (CEC, 2022)

Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (CEC, 2022)

What makes the dynamic capacitated Arc routing problem hard to solve: insights from fitness landscape analysis. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (GECCO, 2022)

Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. - Stephen Friess; Peter Tino; Stefan Menzel; Zhao Xu 001; Bernhard Sendhoff; Xin Yao 001 (IJCNN, 2022)

Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer. - Sneha Saha; Leandro L. Minku; Xin Yao 001; Bernhard Sendhoff; Stefan Menzel (IJCNN, 2022)

A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization. - Sibghat Ullah; Hao Wang 025; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (PPSN (1), 2022)

An Efficient Contesting Procedure for AutoML Optimization. - Duc Anh Nguyen; Anna V. Kononova; Stefan Menzel; Bernhard Sendhoff; Thomas Bäck (IEEE Access, 2022)

Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search. - Xiaofen Lu; Ke Tang 001; Stefan Menzel; Xin Yao 001 (IEEE Trans. Evol. Comput., 2022)

Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation. - Thiago Rios; Bas van Stein; Thomas Bäck; Bernhard Sendhoff; Stefan Menzel (IEEE Trans. Evol. Comput., 2022)

A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. - Hao Tong; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (IEEE Trans. Evol. Comput., 2022)

CarHoods10k: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications. - Patricia Wollstadt; Mariusz Bujny; Satchit Ramnath; Jami J. Shah; Duane Detwiler; Stefan Menzel (IEEE Trans. Evol. Comput., 2022)

Large Language and Text-to-3D Models for Engineering Design Optimization. - Thiago Rios; Stefan Menzel; Bernhard Sendhoff (SSCI, 2023)

Evaluation of geometric similarity metrics for structural clusters generated using topology optimization. - Nivesh Dommaraju; Mariusz Bujny; Stefan Menzel; Markus Olhofer; Fabian Duddeck (Appl. Intell., 2023)

Generating and Adapting to Diverse Ad Hoc Partners in Hanabi. - Rodrigo Canaan; Xianbo Gao; Julian Togelius; Andy Nealen; Stefan Menzel (IEEE Trans. Games, 2023)

Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. - Melvin Wong; Thiago Rios; Stefan Menzel; Yew Soon Ong (CEC, 2024)

Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model. - Melvin Wong; Thiago Rios; Stefan Menzel; Yew Soon Ong (CoRR, 2024)

LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking. - Melvin Wong; Jiao Liu; Thiago Rios; Stefan Menzel; Yew Soon Ong (CoRR, 2024)

Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

From Idea to CAD: A Language Model-Driven Multi-Agent System for Collaborative Design. - Felix Ocker; Stefan Menzel; Ahmed Sadik; Thiago Rios (CoRR, 2025)

Controlled Agentic Planning & Reasoning for Mechanism Synthesis. - João Pedro Gandarela de Souza; Thiago Rios; Stefan Menzel; André Freitas (CoRR, 2025)

LLM-to-Phy3D: Physically Conform Online 3D Object Generation with LLMs. - Melvin Wong; Yueming Lyu; Thiago Rios; Stefan Menzel; Yew-Soon Ong (CoRR, 2025)

Learning to Expand/Contract Pareto Sets in Dynamic Multiobjective Optimization With a Changing Number of Objectives. - Gan Ruan; Leandro L. Minku; Stefan Menzel; Bernhard Sendhoff; Xin Yao 001 (IEEE Trans. Evol. Comput., 2025)