Bernhard Sendhoff
Orcid: 0000-0002-1233-9584Affiliations:
- Honda Research Institute Europe, Offenbach, Germany
According to our database1,
Bernhard Sendhoff
authored at least 192 papers
between 1996 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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on sendhoff.eu
On csauthors.net:
Bibliography
2024
Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2024
To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions.
CoRR, 2024
2023
Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications.
IEEE Trans. Evol. Comput., 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
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
Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software.
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
Willing to Revise? Confidence and Recommendation Adoption in AI-Assisted Image Recognition.
Proceedings of the HHAI 2022: Augmenting Human Intellect, 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
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
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, February, 2020
Dataset, February, 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
Towards Novel Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems.
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
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
Proceedings of the IEEE International Conference on Human-Machine Systems, 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
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
Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
2017
IEEE Trans. Evol. Comput., 2017
Toward a Steady-State Analysis of an Evolution Strategy on a Robust Optimization Problem With Noise-Induced Multimodality.
IEEE Trans. Evol. Comput., 2017
IEEE Trans. Cybern., 2017
2016
IEEE Trans. Evol. Comput., 2016
Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization.
Soft Comput., 2016
Appl. Soft Comput., 2016
2015
IEEE Trans. Evol. Comput., 2015
A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling.
IEEE Trans. Evol. Comput., 2015
2014
Adv. Eng. Informatics, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
An examination of different fitness and novelty based selection methods for the evolution of neural networks.
Soft Comput., 2013
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013
2012
A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design.
IEEE Comput. Intell. Mag., 2012
Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration.
Artif. Life, 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
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012
Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Genet. Program. Evolvable Mach., 2011
Proceedings of the 2011 IEEE Symposium on Artificial Life, 2011
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
IEEE Trans. Evol. Comput., 2010
Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat.
Proceedings of the From Animals to Animats 11, 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Analysis of Gene Regulatory Network Motifs in Evolutionary Development of Multicellular Organisms.
Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, 2010
2009
Proceedings of the Fuzzy Systems in Bioinformatics and Computational Biology, 2009
Proceedings of the Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems, 2009
Corrections to "Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies" [May 08 397-415].
IEEE Trans. Syst. Man Cybern. Part C, 2009
Memetic Comput., 2009
Frontiers Comput. Sci. China, 2009
A systems approach to evolutionary multiobjective structural optimization and beyond.
IEEE Comput. Intell. Mag., 2009
Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks.
Proceedings of the 2009 IEEE Symposium on Artificial Life, 2009
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009
Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009
The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009
Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2009
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Representing the Change - Free Form Deformation for Evolutionary Design Optimization.
Proceedings of the Evolutionary Computation in Practice, 2008
Proceedings of the Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008
IEEE Trans. Syst. Man Cybern. Part C, 2008
Knowledge Extraction from Aerodynamic Design Data and its Application to 3D Turbine Blade Geometries.
J. Math. Model. Algorithms, 2008
Proceedings of the Parallel Problem Solving from Nature, 2008
Prediction of convergence dynamics of design performance using differential recurrent neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008
A cellular model for the evolutionary development of lightweight material with an inner structure.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifs.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008
Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms.
Proceedings of the Multiobjective Problem Solving from Nature, 2008
Proceedings of the Organic Computing, 2008
2007
Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007
Future Gener. Comput. Syst., 2007
IEEE Comput. Intell. Mag., 2007
Proceedings of the Advances in Nonlinear Speech Processing, 2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Proceedings of the Artificial Neural Networks, 2007
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007
Proceedings of the Advances in Artificial Life, 9th European Conference, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Proceedings of the Multi-Objective Machine Learning, 2006
Functions with noise-induced multimodality: a test for evolutionary robust Optimization-properties and performance analysis.
IEEE Trans. Evol. Comput., 2006
Int. J. Gen. Syst., 2006
Genet. Program. Evolvable Mach., 2006
IEEE Comput. Intell. Mag., 2006
Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping.
Proceedings of the Parallel Problem Solving from Nature, 2006
Proceedings of the Parallel Problem Solving from Nature, 2006
Proceedings of the Parallel Problem Solving from Nature, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
IEEE Trans. Syst. Man Cybern. Part B, 2005
Soft Comput., 2005
A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization.
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005
Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
On the Impact of Systematic Noise on the Evolutionary Optimization Performance-A Sphere Model Analysis.
Genet. Program. Evolvable Mach., 2004
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model.
Proceedings of the Parallel Problem Solving from Nature, 2004
Proceedings of the Parallel Problem Solving from Nature, 2004
Proceedings of the Parallel Problem Solving from Nature, 2004
Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures.
Proceedings of the Parallel Problem Solving from Nature, 2004
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles.
Proceedings of the Genetic and Evolutionary Computation, 2004
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept.
Proceedings of the Applications of Evolutionary Computing, 2004
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
A decision making framework for game playing using evolutionary optimization and learning.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
Neural network regularization and ensembling using multi-objective evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
2003
Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis.
Proceedings of the Genetic and Evolutionary Computation, 2003
Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2003
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Connectedness, regularity and the success of local search in evolutionary multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2002
IEEE Trans. Evol. Comput., 2002
Proceedings of the Recent Advances in Simulated Evolution and Learning [extended and revised papers selected from the 4th Asia-Pacific Conference on Simulated Evolution and Learning, 2002
On The Dynamics Of Evolutionary Multi-objective Optimization.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
Fitness Approximation In Evolutionary Computation - a Survey.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
Incorporation Of Fuzzy Preferences Into Evolutionary Multiobjective Optimization.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
On the Behavior of (μ/μ<sub>1</sub>, λ)-ES Optimizing Functions Disturbed by Generalized Noise.
Proceedings of the Seventh Workshop on Foundations of Genetic Algorithms, 2002
2001
Proceedings of the Evolutionary Multi-Criterion Optimization, 2001
Proceedings of the 2001 Congress on Evolutionary Computation, 2001
Proceedings of the 2001 Congress on Evolutionary Computation, 2001
2000
On Evolutionary Optimization with Approximate Fitness Functions.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000
Evolutionary optimised ontogenetic neural networks with incremental problem complexity during development.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000
1999
On generating FC<sup>3</sup> fuzzy rule systems from data using evolution strategies.
IEEE Trans. Syst. Man Cybern. Part B, 1999
Neural Process. Lett., 1999
Neural Process. Lett., 1999
Proceedings of the 1999 Congress on Evolutionary Computation, 1999
Structure optimization of density estimation models applied to regression problems with dynamic noise.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999
1998
Evolution of structures: optimization of artificial neural structures for information processing.
PhD thesis, 1998
Proceedings of the Parallel Problem Solving from Nature, 1998
1997
A Condition for the Genotype-Phenotype Mapping: Causality.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
Evolutionary Optimization of the Structure of Neural Networks by a Recursive Mapping as Encoding.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997
Proceedings of the Artificial Neural Networks, 1997
1996
Proceedings of the Evolutionary Computing, 1996