Stefan Menzel
Orcid: 0000-0001-7594-2308
According to our database1,
Stefan Menzel
authored at least 95 papers
between 2006 and 2024.
Collaborative distances:
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Bibliography
2024
Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2024
CoRR, 2024
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model.
CoRR, 2024
Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
IEEE Trans. Games, June, 2023
Evaluation of geometric similarity metrics for structural clusters generated using topology optimization.
Appl. Intell., 2023
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.
IEEE Trans. Evol. Comput., 2022
A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems.
IEEE Trans. Evol. Comput., 2022
Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation.
IEEE Trans. Evol. Comput., 2022
IEEE Trans. Evol. Comput., 2022
A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization.
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.
Proceedings of the International Joint Conference on Neural Networks, 2022
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.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems.
CoRR, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
Proceedings of the Advances in Computational Intelligence, 2021
Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2021
A new acquisition function for robust Bayesian optimization of unconstrained problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization.
Proceedings of the International Conference on 3D Vision, 2021
2020
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models.
Dataset, May, 2020
Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization.
Dataset, May, 2020
Dataset, May, 2020
Dataset, February, 2020
Dataset, February, 2020
Dataset, February, 2020
Proceedings of the 25th International Symposium on Vision, Modeling and Visualization, 2020
Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds.
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.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
An Effective Measure to Identify Meaningful Concepts in Engineering Design optimization.
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.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020
Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
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.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020
2019
IEEE Trans. Evol. Comput., 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
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.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
Proceedings of the IEEE Conference on Games, 2019
2018
Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective.
IEEE Trans. Evol. Comput., 2018
Orthogonalization of linear representations for efficient evolutionary design optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018
2017
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017
Preference-guided adaptation of deformation representations for evolutionary design optimization.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Comput. Aided Des., 2016
Evolvability as a quality criterion for linear deformation representations in evolutionary optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
2012
Proceedings of the 21st International Meshing Roundtable, 2012
Decomposition of Multimodal Data for Affordance-based Identification of Potential Grasps.
Proceedings of the ICPRAM 2012, 2012
Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Evolvable free-form deformation control volumes for evolutionary design optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
2008
Representing the Change - Free Form Deformation for Evolutionary Design Optimization.
Proceedings of the Evolutionary Computation in Practice, 2008
Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries.
J. Math. Model. Algorithms, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
Proceedings of the Advances in Nonlinear Speech Processing, 2007
2006
Proceedings of the Parallel Problem Solving from Nature, 2006