Stefan Menzel

Bernhard Sendhoff

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022

CarHoods10k: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

An Efficient Contesting Procedure for AutoML Optimization.

[BibT_eX]

[DOI]

IEEE Access, 2022

A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Split-AE: An Autoencoder-based Disentanglement Framework for 3D Shape-to-shape Feature Transfer.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

What makes the dynamic capacitated Arc routing problem hard to solve: insights from fitness landscape analysis.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Cooperative Multi-objective Topology Optimization Using Clustering and Metamodeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems.

[BibT_eX]

[DOI]

CoRR, 2021

Exploiting Generative Models for Performance Predictions of 3D Car Designs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Efficient AutoML via Combinational Sampling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Voxel-Based Three-Dimensional Neural Style Transfer.

[BibT_eX]

[DOI]

Barbara Hammer

Proceedings of the Advances in Computational Intelligence, 2021

Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

A new acquisition function for robust Bayesian optimization of unconstrained problems.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A hybrid local search framework for the dynamic capacitated arc routing problem.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2021

2020

On the Performance of Oversampling Techniques for Class Imbalance Problems.

[BibT_eX]

[DOI]

Dataset, May, 2020

An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization.

[BibT_eX]

[DOI]

Dataset, February, 2020

Hyperparameter Optimisation for Improving Classification under Class Imbalance.

[BibT_eX]

[DOI]

Dataset, February, 2020

Generating and Adapting to Diverse Ad-Hoc Cooperation Agents in Hanabi.

[BibT_eX]

[DOI]

CoRR, 2020

Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners.

[BibT_eX]

[DOI]

CoRR, 2020

A Compact Patch-Based Representation for Technical Mesh Models.

[BibT_eX]

[DOI]

Lars Kammann

Proceedings of the 25th International Symposium on Vision, Modeling and Visualization, 2020

Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization.

[BibT_eX]

[DOI]

Felix Lanfermann

Sebastian Schmitt

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

The Effects Of Non-linear Operators In Voxel-Based Deep Neural Networks For 3D Style Reconstruction.

[BibT_eX]

[DOI]

Patricia Wollstadt

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Improving Imbalanced Classification by Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Improving Sampling in Evolution Strategies Through Mixture-Based Distributions Built from Past Problem Instances.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

On the Performance of Oversampling Techniques for Class Imbalance Problems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Feature Visualization for 3D Point Cloud Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Behavioral Evaluation of Hanabi Rainbow DQN Agents and Rule-Based Agents.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020

2019

Solving Incremental Optimization Problems via Cooperative Coevolution.

[BibT_eX]

[DOI]

Ran Cheng

Mohammad Nabi Omidvar

IEEE Trans. Evol. Comput., 2019

Competitive Co-evolution for Dynamic Constrained Optimisation.

[BibT_eX]

[DOI]

CoRR, 2019

An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Optimal Evolutionary Optimization Hyper-parameters to Mimic Human User Behavior.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

When and How to Transfer Knowledge in Dynamic Multi-objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Addressing Complex Engineering Systems: The Value Of Evolvability.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Hyperparameter Optimisation for Improving Classification under Class Imbalance.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Learning Transferable Variation Operators in a Continuous Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Standardization of Gram Matrix for Improved 3D Neural Style Transfer.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Identifying Topological Prototypes using Deep Point Cloud Autoencoder Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Diverse Agents for Ad-Hoc Cooperation in Hanabi.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Games, 2019

2018

Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2018

Orthogonalization of linear representations for efficient evolutionary design optimization.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Evolving Agents for the Hanabi 2018 CIG Competition.

[BibT_eX]

[DOI]

Rodrigo Canaan

Haotian Shen

Ruben Rodriguez Torrado

Julian Togelius

Andy Nealen

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

Towards Game-based Metrics for Computational Co-Creativity.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2017

Multi-objective Representation Setups for Deformation-Based Design Optimization.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Preference-guided adaptation of deformation representations for evolutionary design optimization.

[BibT_eX]

[DOI]

Andreas Richter

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Constrained space deformation techniques for design optimization.

[BibT_eX]

[DOI]

Comput. Aided Des., 2016

Evolvability as a quality criterion for linear deformation representations in evolutionary optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Evolvability of representations in complex system engineering: A survey.

[BibT_eX]

[DOI]

Andreas Richter

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Kamera-Hardware.

[BibT_eX]

[DOI]

Proceedings of the Handbuch Fahrerassistenzsysteme, 2015

2014

RBF morphing techniques for simulation-based design optimization.

[BibT_eX]

[DOI]

Daniel Sieger

Eng. Comput., 2014

The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution.

[BibT_eX]

[DOI]

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

A cascaded evolutionary multi-objective optimization for solving the unbiased universal electric motor family problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

Evolution by Adapting Surrogates.

[BibT_eX]

[DOI]

Evol. Comput., 2013

2012

High Quality Mesh Morphing Using Triharmonic Radial Basis Functions.

[BibT_eX]

[DOI]

Daniel Sieger

Proceedings of the 21st International Meshing Roundtable, 2012

Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps.

[BibT_eX]

Proceedings of the ICPRAM 2012, 2012

Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2012 Sixth International Conference on Genetic and Evolutionary Computing, 2012

Evolvability as concept for the optimal design of free-form deformation control volumes.

[BibT_eX]

[DOI]

Henry Lehmann

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Evolvable free-form deformation control volumes for evolutionary design optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010

Correlating Shape and Functional Properties Using Decomposition Approaches.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

Finding correlations in multimodal data using decomposition approaches.

[BibT_eX]

[DOI]

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2008

Representing the Change - Free Form Deformation for Evolutionary Design Optimization.

[BibT_eX]

[DOI]

Bernhard Sendhoff

Proceedings of the Evolutionary Computation in Practice, 2008

Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries.

[BibT_eX]

[DOI]

J. Math. Model. Algorithms, 2008

Unsupervised extraction of design components for a 3D parts-based representation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Word Recognition with a Hierarchical Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Nonlinear Speech Processing, 2007

2006

Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation.

[BibT_eX]

[DOI]