Bernhard Sendhoff

ORCID

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 52

Top Venues

SSCI

IEEE Trans. Evol. Comput.

IJCNN

CEC

Ruhr University Bochum, Germany (PHD)

Education History

Ruhr University Bochum, Germany

PHD

Publications

Thiago Rios, Stefan Menzel, Bernhard Sendhoff
Large Language and Text-to-3D Models for Engineering Design Optimization. SSCI (2023)
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 (2023)
Thiago Rios, Stefan Menzel, Bernhard Sendhoff
Large Language and Text-to-3D Models for Engineering Design Optimization. CoRR (2023)
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)
Xingyi Zhang, Ran Cheng, Yaochu Jin, Bernhard Sendhoff
Guest Editorial Special Issue on Large-Scale Evolutionary Multiobjective Optimization and Its Practical Applications. IEEE Trans. Evol. Comput. 27 (3) (2023)
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) (2022)
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)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation. CEC (2022)
Leonore Röseler, Ingo Scholtes, Bernhard Sendhoff, Anikó Hannák
Willing to Revise? Confidence and Recommendation Adoption in AI-Assisted Image Recognition. HHAI (2022)
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) (2022)
Thomas Bäck, Carola Doerr, Bernhard Sendhoff, Thomas Stützle
Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software. IEEE Trans. Evol. Comput. 26 (6) (2022)
Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
An Efficient Contesting Procedure for AutoML Optimization. IEEE Access 10 (2022)
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)
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)
Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao
Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. IJCNN (2022)
Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
Efficient AutoML via Combinational Sampling. SSCI (2021)
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)
Stephen Friess, Peter Tiño, Zhao Xu, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization. IJCNN (2021)
Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
A new acquisition function for robust Bayesian optimization of unconstrained problems. GECCO Companion (2021)
Stephen Friess, Peter Tino, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems. SSCI (2021)
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)
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)
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)
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)
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)
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems. CoRR (2021)
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)
Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt
Feature Visualization for 3D Point Cloud Autoencoders. IJCNN (2020)
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)
Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators. CEC (2020)
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)
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)
Bernhard Sendhoff, Heiko Wersing
Cooperative Intelligence - A Humane Perspective. ICHMS (2020)
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)
Sibghat Ullah, Duc Anh Nguyen, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization. SSCI (2020)
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)
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)
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) (2019)
Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck
An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. SSCI (2019)
Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao
Learning Transferable Variation Operators in a Continuous Genetic Algorithm. SSCI (2019)
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)
Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. SSCI (2019)
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)
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)
Hans-Georg Beyer, Bernhard Sendhoff
Simplify Your Covariance Matrix Adaptation Evolution Strategy. IEEE Trans. Evol. Comput. 21 (5) (2017)
Hans-Georg Beyer, Bernhard Sendhoff
Toward a Steady-State Analysis of an Evolution Strategy on a Robust Optimization Problem With Noise-Induced Multimodality. IEEE Trans. Evol. Comput. 21 (4) (2017)
Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. IEEE Trans. Cybern. 47 (12) (2017)
Zhenyu Yang, Bernhard Sendhoff, Ke Tang, Xin Yao
Target shape design optimization by evolving B-splines with cooperative coevolution. Appl. Soft Comput. 48 (2016)
Kaname Narukawa, Yu Setoguchi, Yuki Tanigaki, Markus Olhofer, Bernhard Sendhoff, Hisao Ishibuchi
Preference representation using Gaussian functions on a hyperplane in evolutionary multi-objective optimization. Soft Comput. 20 (7) (2016)
Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 20 (5) (2016)
Ran Cheng, Yaochu Jin, Kaname Narukawa, Bernhard Sendhoff
A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. IEEE Trans. Evol. Comput. 19 (6) (2015)
Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
Robust Optimization Over Time: Problem Difficulties and Benchmark Problems. IEEE Trans. Evol. Comput. 19 (5) (2015)
Haobo Fu, Peter R. Lewis, Bernhard Sendhoff, Ke Tang, Xin Yao
What are dynamic optimization problems? IEEE Congress on Evolutionary Computation (2014)
Lars Gräning, Bernhard Sendhoff
Shape mining: A holistic data mining approach for engineering design. Adv. Eng. Informatics 28 (2) (2014)
Xiaofen Lu, Ke Tang, Bernhard Sendhoff, Xin Yao
A new self-adaptation scheme for differential evolution. Neurocomputing 146 (2014)
Xiaofen Lu, Ke Tang, Bernhard Sendhoff, Xin Yao
A review of concurrent optimisation methods. Int. J. Bio Inspired Comput. 6 (1) (2014)
Benjamin Inden, Yaochu Jin, Robert Haschke, Helge J. Ritter, Bernhard Sendhoff
An examination of different fitness and novelty based selection methods for the evolution of neural networks. Soft Comput. 17 (5) (2013)
Edgar Reehuis, Markus Olhofer, Michael Emmerich, Bernhard Sendhoff, Thomas Bäck
Novelty and interestingness measures for design-space exploration. GECCO (2013)
Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Yaochu Jin, Bernhard Sendhoff
Evolution by Adapting Surrogates. Evol. Comput. 21 (2) (2013)
Edgar Reehuis, Markus Olhofer, Bernhard Sendhoff, Thomas Bäck
Learning-Guided Exploration in Airfoil Optimization. IDEAL (2013)
Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
Finding Robust Solutions to Dynamic Optimization Problems. EvoApplications (2013)
Yaochu Jin, Ke Tang, Xin Yu, Bernhard Sendhoff, Xin Yao
A framework for finding robust optimal solutions over time. Memetic Comput. 5 (1) (2013)
Lisa Schramm, Yaochu Jin, Bernhard Sendhoff
Quantitative analysis of redundancy in evolution of developmental systems. CIBCB (2012)
Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao
Characterizing environmental changes in Robust Optimization Over Time. IEEE Congress on Evolutionary Computation (2012)
Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design. IEEE Comput. Intell. Mag. 7 (1) (2012)
Lars Gräning, Stefan Menzel, Thomas Ramsay, Bernhard Sendhoff
Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization. ICGEC (2012)
Lisa Schramm, Yaochu Jin, Bernhard Sendhoff
Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration. Artif. Life 18 (4) (2012)
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)
Yan Meng, Yuyang Zhang, Abhay Sampath, Yaochu Jin, Bernhard Sendhoff
Cross-Ball: A new morphogenetic self-reconfigurable modular robot. ICRA (2011)
Till Steiner, Bernhard Sendhoff
Evolvability of graph- and Vector Field Embryogeny representations. IEEE Congress on Evolutionary Computation (2011)
Markus Olhofer, Dilyana Yankulova, Bernhard Sendhoff
Autonomous experimental design optimization of a flapping wing. Genet. Program. Evolvable Mach. 12 (1) (2011)
Lisa Schramm, Yaochu Jin, Bernhard Sendhoff
Redundancy creates opportunity in developmental representations. ALIFE (2011)
Lisa Schramm, Bernhard Sendhoff
An animat's cell doctrine. ECAL (2011)
Ben Jones, Andrea Soltoggio, Bernhard Sendhoff, Xin Yao
Evolution of neural symmetry and its coupled alignment to body plan morphology. GECCO (2011)
Dudy Lim, Yaochu Jin, Yew-Soon Ong, Bernhard Sendhoff
Generalizing Surrogate-Assisted Evolutionary Computation. IEEE Trans. Evol. Comput. 14 (3) (2010)
Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao
Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat. SAB (2010)
Lisa Schramm, Vander Valente Martins, Yaochu Jin, Bernhard Sendhoff
Analysis of Gene Regulatory Network Motifs in Evolutionary Development of Multicellular Organisms. ALIFE (2010)
Till Steiner, Yaochu Jin, Bernhard Sendhoff
Evolving heterochrony for cellular differentiation using vector field embryogeny. GECCO (2010)
Yaochu Jin, Bernhard Sendhoff
A systems approach to evolutionary multiobjective structural optimization and beyond. IEEE Comput. Intell. Mag. 4 (3) (2009)
Lars Gräning, Markus Olhofer, Bernhard Sendhoff
Interaction Detection in Aerodynamic Design Data. IDEAL (2009)
Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff
Lamarckian memetic algorithms: local optimum and connectivity structure analysis. Memetic Comput. 1 (3) (2009)
Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao
The Effect of Proprioceptive Feedback on the Distribution of Sensory Information in a Model of an Undulatory Organism. ECAL (1) (2009)
Yaochu Jin, Bernhard Sendhoff
Corrections to "Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies" [May 08 397-415]. IEEE Trans. Syst. Man Cybern. Part C 39 (3) (2009)
Yaochu Jin, Yan Meng, Bernhard Sendhoff
Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks. ALIFE (2009)
Yaochu Jin, Robin Gruna, Ingo Paenke, Bernhard Sendhoff
Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations. MCDM (2009)
Till Steiner, Jens Trommler, Martin Brenn, Yaochu Jin, Bernhard Sendhoff
Global shape with morphogen gradients and motile polarized cells. IEEE Congress on Evolutionary Computation (2009)
Yaochu Jin, Robin Gruna, Bernhard Sendhoff
Pareto analysis of evolutionary and learning systems. Frontiers Comput. Sci. China 3 (1) (2009)
Ingo Paenke, Tadeusz J. Kawecki, Bernhard Sendhoff
The Influence of Learning on Evolution: A Mathematical Framework. Artif. Life 15 (2) (2009)
Lisa Schramm, Yaochu Jin, Bernhard Sendhoff
Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats. ECAL (1) (2009)
Yaochu Jin, Bernhard Sendhoff
Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies. IEEE Trans. Syst. Man Cybern. Part C 38 (3) (2008)
Hans-Georg Beyer, Bernhard Sendhoff
Covariance Matrix Adaptation Revisited - The CMSA Evolution Strategy -. PPSN (2008)
Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao
Evolving Functional Symmetry in a Three Dimensional Model of an Elongated Organism. ALIFE (2008)
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) (2008)
Neale Samways, Yaochu Jin, Xin Yao, Bernhard Sendhoff
Toward a gene regulatory network model for evolving chemotaxis behavior. IEEE Congress on Evolutionary Computation (2008)
Ben Jones, Yaochu Jin, Xin Yao, Bernhard Sendhoff
Evolution of Neural Organization in a Hydra-Like Animat. ICONIP (1) (2008)
Yaochu Jin, Lisa Schramm, Bernhard Sendhoff
A Gene Regulatory Model for the Development of Primitive Nervous Systems. ICONIP (1) (2008)
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff
Combination of EDA and DE for continuous biobjective optimization. IEEE Congress on Evolutionary Computation (2008)
Till Steiner, Yaochu Jin, Bernhard Sendhoff
A cellular model for the evolutionary development of lightweight material with an inner structure. GECCO (2008)
Yaochu Jin, Bernhard Sendhoff
Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifs. IEEE Congress on Evolutionary Computation (2008)
Yi Cao, Yaochu Jin, Michal Kowalczykiewicz, Bernhard Sendhoff
Prediction of convergence dynamics of design performance using differential recurrent neural networks. IJCNN (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bernhard Sendhoff