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ORCIDBernhard Sendhoff
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- affiliation: Honda Research Institute Europe, Offenbach, Germany
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2020 – today
- 2024
[j46]Gan Ruan
, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 4210-4224 (2024)- [c133]Daniel Tanneberg, Felix Ocker, Stephan Hasler, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Heiko Wersing, Bernhard Sendhoff, Michael Gienger:
To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions. IROS 2024: 9130-9137 - [i4]Daniel Tanneberg, Felix Ocker, Stephan Hasler, Joerg Deigmoeller, Anna Belardinelli, Chao Wang, Heiko Wersing, Bernhard Sendhoff, Michael Gienger:
To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions. CoRR abs/2403.12533 (2024) - 2023
- [j45]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): 398-400 (2023) - [c132]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: 45-46 - [c131]Thiago Rios, Stefan Menzel, Bernhard Sendhoff:
Large Language and Text-to-3D Models for Engineering Design Optimization. SSCI 2023: 1704-1711 - [i3]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 abs/2306.10668 (2023) - [i2]Thiago Rios, Stefan Menzel, Bernhard Sendhoff:
Large Language and Text-to-3D Models for Engineering Design Optimization. CoRR abs/2307.01230 (2023) - 2022
- [j44]Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
An Efficient Contesting Procedure for AutoML Optimization. IEEE Access 10: 75754-75771 (2022) - [j43]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): 206-217 (2022) - [j42]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): 1202-1205 (2022) - [j41]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): 1486-1500 (2022) - [c130]Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Benchmarking Dynamic Capacitated Arc Routing Algorithms Using Real-World Traffic Simulation. CEC 2022: 1-8 - [c129]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: 305-313 - [c128]Leonore Röseler, Ingo Scholtes, Bernhard Sendhoff, Anikó Hannák:
Willing to Revise? Confidence and Recommendation Adoption in AI-Assisted Image Recognition. HHAI 2022: 295-297 - [c127]Stephen Friess, Peter Tino, Stefan Menzel, Zhao Xu, Bernhard Sendhoff, Xin Yao:
Spatio-Temporal Activity Recognition for Evolutionary Search Behavior Prediction. IJCNN 2022: 1-8 - [c126]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: 1-9 - [c125]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: 63-75 - 2021
- [c124]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: 1024-1033 - [c123]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: 514-521 - [c122]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: 1767-1776 - [c121]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: 1-9 - [c120]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: 139-140 - [c119]Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
A new acquisition function for robust Bayesian optimization of unconstrained problems. GECCO Companion 2021: 1344-1345 - [c118]Stephen Friess, Peter Tiño, Zhao Xu, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Artificial Neural Networks as Feature Extractors in Continuous Evolutionary Optimization. IJCNN 2021: 1-9 - [c117]Stephen Friess, Peter Tino, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Predicting CMA-ES Operators as Inductive Biases for Shape Optimization Problems. SSCI 2021: 1-7 - [c116]Duc Anh Nguyen, Anna V. Kononova, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
Efficient AutoML via Combinational Sampling. SSCI 2021: 1-10 - [c115]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: 1-9 - [i1]Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
A Novel Generalised Meta-Heuristic Framework for Dynamic Capacitated Arc Routing Problems. CoRR abs/2104.06585 (2021) - 2020
- [c114]Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Representing Experience in Continuous Evolutionary optimisation through Problem-tailored Search Operators. CEC 2020: 1-7 - [c113]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: 1-8 - [c112]Bernhard Sendhoff, Heiko Wersing:
Cooperative Intelligence - A Humane Perspective. ICHMS 2020: 1-6 - [c111]Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt:
Feature Visualization for 3D Point Cloud Autoencoders. IJCNN 2020: 1-9 - [c110]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: 1-9 - [c109]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: 428-440 - [c108]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: 583-596 - [c107]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: 942-949 - [c106]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: 1469-1477 - [c105]Sibghat Ullah, Duc Anh Nguyen, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization. SSCI 2020: 2965-2974 - [d4]Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. Zenodo, 2020
- [d3]Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Computational Study on Effectiveness of Knowledge Transfer in Dynamic Multi-objective Optimization. Zenodo, 2020 - [d2]Sibghat Ullah, Hao Wang, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff:
An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. Zenodo, 2020 - [d1]Sibghat Ullah, Zhao Xu, Hao Wang, Stefan Menzel, Bernhard Sendhoff:
Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models. Zenodo, 2020
2010 – 2019
- 2019
- [j40]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): 762-775 (2019) - [c104]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: 785-792 - [c103]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: 791-798 - [c102]Sibghat Ullah, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Thomas Bäck:
An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization. SSCI 2019: 819-828 - [c101]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: 858-866 - [c100]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: 1367-1374 - [c99]Stephen Friess, Peter Tiño, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
Learning Transferable Variation Operators in a Continuous Genetic Algorithm. SSCI 2019: 2027-2033 - [c98]Gan Ruan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao:
When and How to Transfer Knowledge in Dynamic Multi-objective Optimization. SSCI 2019: 2034-2041 - 2017
- [j39]Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
Test Problems for Large-Scale Multiobjective and Many-Objective Optimization. IEEE Trans. Cybern. 47(12): 4108-4121 (2017) - [j38]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): 629-643 (2017) - [j37]Hans-Georg Beyer, Bernhard Sendhoff:
Simplify Your Covariance Matrix Adaptation Evolution Strategy. IEEE Trans. Evol. Comput. 21(5): 746-759 (2017) - 2016
- [j36]Zhenyu Yang, Bernhard Sendhoff, Ke Tang, Xin Yao:
Target shape design optimization by evolving B-splines with cooperative coevolution. Appl. Soft Comput. 48: 672-682 (2016) - [j35]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): 2733-2757 (2016) - [j34]Ran Cheng, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 20(5): 773-791 (2016) - 2015
- [j33]Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao:
Robust Optimization Over Time: Problem Difficulties and Benchmark Problems. IEEE Trans. Evol. Comput. 19(5): 731-745 (2015) - [j32]Ran Cheng, Yaochu Jin, Kaname Narukawa, Bernhard Sendhoff:
A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling. IEEE Trans. Evol. Comput. 19(6): 838-856 (2015) - 2014
- [j31]Lars Gräning, Bernhard Sendhoff:
Shape mining: A holistic data mining approach for engineering design. Adv. Eng. Informatics 28(2): 166-185 (2014) - [j30]Xiaofen Lu, Ke Tang, Bernhard Sendhoff, Xin Yao:
A review of concurrent optimisation methods. Int. J. Bio Inspired Comput. 6(1): 22-31 (2014) - [j29]Xiaofen Lu, Ke Tang, Bernhard Sendhoff, Xin Yao:
A new self-adaptation scheme for differential evolution. Neurocomputing 146: 2-16 (2014) - [c97]Haobo Fu, Peter R. Lewis, Bernhard Sendhoff, Ke Tang, Xin Yao:
What are dynamic optimization problems? IEEE Congress on Evolutionary Computation 2014: 1550-1557 - 2013
- [j28]Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Yaochu Jin, Bernhard Sendhoff:
Evolution by Adapting Surrogates. Evol. Comput. 21(2): 313-340 (2013) - [j27]Yaochu Jin, Ke Tang, Xin Yu, Bernhard Sendhoff, Xin Yao:
A framework for finding robust optimal solutions over time. Memetic Comput. 5(1): 3-18 (2013) - [j26]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): 753-767 (2013) - [c96]Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao:
Finding Robust Solutions to Dynamic Optimization Problems. EvoApplications 2013: 616-625 - [c95]Edgar Reehuis, Markus Olhofer, Michael Emmerich, Bernhard Sendhoff, Thomas Bäck:
Novelty and interestingness measures for design-space exploration. GECCO 2013: 1541-1548 - [c94]Edgar Reehuis, Markus Olhofer, Bernhard Sendhoff, Thomas Bäck:
Learning-Guided Exploration in Airfoil Optimization. IDEAL 2013: 505-512 - 2012
- [j25]Lisa Schramm, Yaochu Jin, Bernhard Sendhoff:
Evolution and Analysis of Genetic Networks for Stable Cellular Growth and Regeneration. Artif. Life 18(4): 425-444 (2012) - [j24]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): 20-35 (2012) - [c93]Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao:
Characterizing environmental changes in Robust Optimization Over Time. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c92]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: 1-8 - [c91]Lisa Schramm, Yaochu Jin, Bernhard Sendhoff:
Quantitative analysis of redundancy in evolution of developmental systems. CIBCB 2012: 61-68 - [c90]Lars Gräning, Stefan Menzel, Thomas Ramsay, Bernhard Sendhoff:
Application of Sensitivity Analysis for an Improved Representation in Evolutionary Design Optimization. ICGEC 2012: 417-420 - 2011
- [j23]Markus Olhofer, Dilyana Yankulova, Bernhard Sendhoff:
Autonomous experimental design optimization of a flapping wing. Genet. Program. Evolvable Mach. 12(1): 23-47 (2011) - [c89]Till Steiner, Bernhard Sendhoff:
Evolvability of graph- and Vector Field Embryogeny representations. IEEE Congress on Evolutionary Computation 2011: 1272-1279 - [c88]Lisa Schramm, Bernhard Sendhoff:
An animat's cell doctrine. ECAL 2011: 739-746 - [c87]Ben Jones, Andrea Soltoggio, Bernhard Sendhoff, Xin Yao:
Evolution of neural symmetry and its coupled alignment to body plan morphology. GECCO 2011: 235-242 - [c86]Yan Meng, Yuyang Zhang, Abhay Sampath, Yaochu Jin, Bernhard Sendhoff:
Cross-Ball: A new morphogenetic self-reconfigurable modular robot. ICRA 2011: 267-272 - [c85]Lisa Schramm, Yaochu Jin, Bernhard Sendhoff:
Redundancy creates opportunity in developmental representations. ALIFE 2011: 203-210 - 2010
- [j22]Dudy Lim, Yaochu Jin, Yew-Soon Ong, Bernhard Sendhoff:
Generalizing Surrogate-Assisted Evolutionary Computation. IEEE Trans. Evol. Comput. 14(3): 329-355 (2010) - [c84]Lisa Schramm, Vander Valente Martins, Yaochu Jin, Bernhard Sendhoff:
Analysis of Gene Regulatory Network Motifs in Evolutionary Development of Multicellular Organisms. ALIFE 2010: 133-142 - [c83]Till Steiner, Yaochu Jin, Bernhard Sendhoff:
Evolving heterochrony for cellular differentiation using vector field embryogeny. GECCO 2010: 571-578 - [c82]Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao:
Emergent Distribution of Computational Workload in the Evolution of an Undulatory Animat. SAB 2010: 587-596
2000 – 2009
- 2009
- [j21]Ingo Paenke, Tadeusz J. Kawecki, Bernhard Sendhoff:
The Influence of Learning on Evolution: A Mathematical Framework. Artif. Life 15(2): 227-245 (2009) - [j20]Yaochu Jin, Bernhard Sendhoff:
A systems approach to evolutionary multiobjective structural optimization and beyond. IEEE Comput. Intell. Mag. 4(3): 62-76 (2009) - [j19]Yaochu Jin, Robin Gruna, Bernhard Sendhoff:
Pareto analysis of evolutionary and learning systems. Frontiers Comput. Sci. China 3(1): 4-17 (2009) - [j18]Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
Lamarckian memetic algorithms: local optimum and connectivity structure analysis. Memetic Comput. 1(3): 175-190 (2009) - [j17]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): 373 (2009) - [c81]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: 2225-2232 - [c80]Yaochu Jin, Robin Gruna, Ingo Paenke, Bernhard Sendhoff:
Evolutionary multi-objective optimization of robustness and innovation in redundant genetic representations. MCDM 2009: 38-45 - [c79]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: 18-26 - [c78]Lisa Schramm, Yaochu Jin, Bernhard Sendhoff:
Emerged Coupling of Motor Control and Morphological Development in Evolution of Multi-cellular Animats. ECAL (1) 2009: 27-34 - [c77]Lars Gräning, Markus Olhofer, Bernhard Sendhoff:
Interaction Detection in Aerodynamic Design Data. IDEAL 2009: 160-167 - [c76]Yaochu Jin, Yan Meng, Bernhard Sendhoff:
Influence of regulation logic on the easiness of evolving sustained oscillation for gene regulatory networks. ALIFE 2009: 61-68 - [p8]Bernhard Sendhoff, Edgar Körner, Olaf Sporns:
Creating Brain-Like Intelligence. Creating Brain-Like Intelligence 2009: 1-14 - [p7]Yaochu Jin, Bernhard Sendhoff:
Fuzzy Logic in Evolving in silicoOscillatory Dynamics for Gene Regulatory Networks. Fuzzy Systems in Bioinformatics and Computational Biology 2009: 315-327 - [e2]Bernhard Sendhoff, Edgar Körner, Olaf Sporns, Helge J. Ritter, Kenji Doya:
Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems. Lecture Notes in Computer Science 5436, Springer 2009, ISBN 978-3-642-00615-9 [contents] - 2008
- [j16]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): 329-350 (2008) - [j15]Yaochu Jin, Bernhard Sendhoff:
Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies. IEEE Trans. Syst. Man Cybern. Part C 38(3): 397-415 (2008) - [c75]Ben Jones, Yaochu Jin, Bernhard Sendhoff, Xin Yao:
Evolving Functional Symmetry in a Three Dimensional Model of an Elongated Organism. ALIFE 2008: 305-312 - [c74]Yaochu Jin, Bernhard Sendhoff:
Evolving in silico bistable and oscillatory dynamics for gene regulatory network motifs. IEEE Congress on Evolutionary Computation 2008: 386-391 - [c73]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff:
Combination of EDA and DE for continuous biobjective optimization. IEEE Congress on Evolutionary Computation 2008: 1447-1454 - [c72]Neale Samways, Yaochu Jin, Xin Yao, Bernhard Sendhoff:
Toward a gene regulatory network model for evolving chemotaxis behavior. IEEE Congress on Evolutionary Computation 2008: 2569-2576 - [c71]Till Steiner, Yaochu Jin, Bernhard Sendhoff:
A cellular model for the evolutionary development of lightweight material with an inner structure. GECCO 2008: 851-858 - [c70]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
Evolutionary Optimization with Dynamic Fidelity Computational Models. ICIC (2) 2008: 235-242 - [c69]Yaochu Jin, Lisa Schramm, Bernhard Sendhoff:
A Gene Regulatory Model for the Development of Primitive Nervous Systems. ICONIP (1) 2008: 48-55 - [c68]Ben Jones, Yaochu Jin, Xin Yao, Bernhard Sendhoff:
Evolution of Neural Organization in a Hydra-Like Animat. ICONIP (1) 2008: 216-223 - [c67]Yi Cao, Yaochu Jin, Michal Kowalczykiewicz, Bernhard Sendhoff:
Prediction of convergence dynamics of design performance using differential recurrent neural networks. IJCNN 2008: 528-533 - [c66]Hans-Georg Beyer, Bernhard Sendhoff:
Covariance Matrix Adaptation Revisited - The CMSA Evolution Strategy -. PPSN 2008: 123-132 - [p6]Christian Igel, Bernhard Sendhoff:
Genesis of Organic Computing Systems: Coupling Evolution and Learning. Organic Computing 2008: 141-166 - [p5]Yaochu Jin, Aimin Zhou, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang:
Modeling Regularity to Improve Scalability of Model-Based Multiobjective Optimization Algorithms. Multiobjective Problem Solving from Nature 2008: 331-355 - [p4]Stefan Menzel, Bernhard Sendhoff:
Representing the Change - Free Form Deformation for Evolutionary Design Optimization. Evolutionary Computation in Practice 2008: 63-86 - [p3]Yaochu Jin, Bernhard Sendhoff, Edgar Körner:
Rule Extraction from Compact Pareto-optimal Neural Networks. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 71-90 - 2007
- [j14]Bernhard Sendhoff:
Emergent Technology Technical Committee [Society Briefs]. IEEE Comput. Intell. Mag. 2(4): 5-8 (2007) - [j13]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee:
Efficient Hierarchical Parallel Genetic Algorithms using Grid computing. Future Gener. Comput. Syst. 23(4): 658-670 (2007) - [c65]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff:
Adaptivemodelling strategy for continuous multi-objective optimization. IEEE Congress on Evolutionary Computation 2007: 431-437 - [c64]Till Steiner, Lisa Schramm, Yaochu Jin, Bernhard Sendhoff:
Emergence of feedback in artificial gene regulatory networks. IEEE Congress on Evolutionary Computation 2007: 867-874 - [c63]Pan Zhang, Xin Yao, Lei Jia, Bernhard Sendhoff, Thorsten Schnier:
Target shape design optimization by evolving splines. IEEE Congress on Evolutionary Computation 2007: 2009-2016 - [c62]Ingo Paenke, Bernhard Sendhoff, Jonathan E. Rowe, Chrisantha Fernando:
On the Adaptive Disadvantage of Lamarckianism in Rapidly Changing Environments. ECAL 2007: 355-364 - [c61]Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang:
Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. EMO 2007: 832-846 - [c60]Hans-Georg Beyer, Bernhard Sendhoff:
Evolutionary Algorithms in the Presence of Noise: To Sample or Not to Sample. FOCI 2007: 17-24 - [c59]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang:
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover. GECCO 2007: 617-623 - [c58]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. GECCO 2007: 1288-1295 - [c57]Yaochu Jin, Ruojing Wen, Bernhard Sendhoff:
Evolutionary Multi-objective Optimization of Spiking Neural Networks. ICANN (1) 2007: 370-379 - [c56]Lars Gräning, Markus Olhofer, Bernhard Sendhoff:
Knowledge Extraction from Unstructured Surface Meshes. IDEAL 2007: 497-506 - [c55]Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick:
Word Recognition with a Hierarchical Neural Network. NOLISP 2007: 142-151 - [p2]Lars Gräning, Yaochu Jin, Bernhard Sendhoff:
Individual-based Management of Meta-models for Evolutionary Optimization with Application to Three-Dimensional Blade Optimization. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 225-250 - 2006
- [j12]Bernhard Sendhoff, Mark Roberts, Xin Yao:
Evolutionary computation benchmarking repository [Developmental Tools]. IEEE Comput. Intell. Mag. 1(4): 50-60 (2006) - [j11]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee:
Inverse multi-objective robust evolutionary design. Genet. Program. Evolvable Mach. 7(4): 383-404 (2006) - [j10]Vineet R. Khare, Xin Yao, Bernhard Sendhoff:
Multi-network evolutionary systems and automatic decomposition of complex problems. Int. J. Gen. Syst. 35(3): 259-274 (2006) - [j9]Hans-Georg Beyer, Bernhard Sendhoff:
Functions with noise-induced multimodality: a test for evolutionary robust Optimization-properties and performance analysis. IEEE Trans. Evol. Comput. 10(5): 507-526 (2006) - [c54]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
Trusted Evolutionary Algorithm. IEEE Congress on Evolutionary Computation 2006: 149-156 - [c53]Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang:
Combining Model-based and Genetics-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion. IEEE Congress on Evolutionary Computation 2006: 892-899 - [c52]Hans-Georg Beyer, Bernhard Sendhoff:
Evolution Strategies for Robust Optimization. IEEE Congress on Evolutionary Computation 2006: 1346-1353 - [c51]Yaochu Jin, Bernhard Sendhoff:
Alleviating Catastrophic Forgetting via Multi-Objective Learning. IJCNN 2006: 3335-3342 - [c50]Lars Gräning, Yaochu Jin, Bernhard Sendhoff:
Generalization Improvement in Multi-Objective Learning. IJCNN 2006: 4839-4846 - [c49]Stefan Menzel, Markus Olhofer, Bernhard Sendhoff:
Direct Manipulation of Free Form Deformation in Evolutionary Design Optimisation. PPSN 2006: 352-361 - [c48]Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang:
Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic Mapping. PPSN 2006: 443-452 - [c47]Vineet R. Khare, Bernhard Sendhoff, Xin Yao:
Environments Conducive to Evolution of Modularity. PPSN 2006: 603-612 - [p1]Yaochu Jin, Bernhard Sendhoff, Edgar Körner:
Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers. Multi-Objective Machine Learning 2006: 291-312 - 2005
- [j8]Michael Hüsken, Yaochu Jin, Bernhard Sendhoff:
Structure optimization of neural networks for evolutionary design optimization. Soft Comput. 9(1): 21-28 (2005) - [j7]Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner:
Evolutionary optimization of a hierarchical object recognition model. IEEE Trans. Syst. Man Cybern. Part B 35(3): 426-437 (2005) - [c46]Martina Hasenjäger, Bernhard Sendhoff:
Crawling along the Pareto front: tales from the practice. Congress on Evolutionary Computation 2005: 174-181 - [c45]Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff:
A new approach to dynamics analysis of genetic algorithms without selection. Congress on Evolutionary Computation 2005: 374-381 - [c44]Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff:
Theoretical comparisons of search dynamics of genetic algorithms and evolution strategies. Congress on Evolutionary Computation 2005: 382-389 - [c43]Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaochu Jin, Heiko Wersing:
Co-evolutionary modular neural networks for automatic problem decomposition. Congress on Evolutionary Computation 2005: 2691-2698 - [c42]Yaochu Jin, Bernhard Sendhoff, Edgar Körner:
Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations. EMO 2005: 752-766 - [c41]Christian Igel, Bernhard Sendhoff:
Synergies between Evolutionary and Neural Computation. ESANN 2005: 241-252 - [c40]Lars Gräning, Yaochu Jin, Bernhard Sendhoff:
Efficient evolutionary optimization using individual-based evolution control and neural networks: A comparative study. ESANN 2005: 273-278 - [c39]Michael Nashvili, Markus Olhofer, Bernhard Sendhoff:
Morphing methods in evolutionary design optimization. GECCO 2005: 897-904 - [c38]Martina Hasenjäger, Bernhard Sendhoff, Toyotaka Sonoda, Toshiyuki Arima:
Three dimensional evolutionary aerodynamic design optimization with CMA-ES. GECCO 2005: 2173-2180 - [c37]Hee-Khiang Ng, Dudy Lim, Yew-Soon Ong, Bu-Sung Lee, Lars Freund, Shuja Parvez, Bernhard Sendhoff:
A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization. ICNC (2) 2005: 1112-1121 - [c36]Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
On Evolutionary Optimization of Large Problems Using Small Populations. ICNC (2) 2005: 1145-1154 - 2004
- [j6]Hans-Georg Beyer, Markus Olhofer, Bernhard Sendhoff:
On the Impact of Systematic Noise on the Evolutionary Optimization Performance-A Sphere Model Analysis. Genet. Program. Evolvable Mach. 5(4): 327-360 (2004) - [c35]Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff:
Neural network regularization and ensembling using multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2004: 1-8 - [c34]Alexandro Mark, Bernhard Sendhoff, Heiko Wersing:
A decision making framework for game playing using evolutionary optimization and learning. IEEE Congress on Evolutionary Computation 2004: 373-380 - [c33]Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff, Markus Olhofer:
Voronoi-based estimation of distribution algorithm for multi-objective optimization. IEEE Congress on Evolutionary Computation 2004: 1594-1601 - [c32]Yaochu Jin, Bernhard Sendhoff:
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept. EvoWorkshops 2004: 525-536 - [c31]Yaochu Jin, Bernhard Sendhoff:
Reducing Fitness Evaluations Using Clustering Techniques and Neural Network Ensembles. GECCO (1) 2004: 688-699 - [c30]Razvan Enache, Bernhard Sendhoff, Markus Olhofer, Martina Hasenjäger:
Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures. PPSN 2004: 253-262 - [c29]Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner:
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model. PPSN 2004: 662-671 - [c28]Tatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
On Test Functions for Evolutionary Multi-objective Optimization. PPSN 2004: 792-802 - [c27]Vineet R. Khare, Xin Yao, Bernhard Sendhoff:
Credit Assignment Among Neurons in Co-evolving Populations. PPSN 2004: 882-891 - 2003
- [j5]Yaochu Jin, Bernhard Sendhoff:
Extracting Interpretable Fuzzy Rules from RBF Networks. Neural Process. Lett. 17(2): 149-164 (2003) - [c26]Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin, Bernhard Sendhoff:
Comparative studies on micro heat exchanger optimisation. IEEE Congress on Evolutionary Computation 2003: 647-654 - [c25]Lars Willmes, Thomas Bäck, Yaochu Jin, Bernhard Sendhoff:
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization. IEEE Congress on Evolutionary Computation 2003: 663-670 - [c24]Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff:
A critical survey of performance indices for multi-objective optimisation. IEEE Congress on Evolutionary Computation 2003: 878-885 - [c23]Wei-Wen Chang, Chan-Jin Chung, Bernhard Sendhoff:
Target shape design optimization with evolutionary computation. IEEE Congress on Evolutionary Computation 2003: 1864-1870 - [c22]Yaochu Jin, Bernhard Sendhoff:
Connectedness, regularity and the success of local search in evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation 2003: 1910-1917 - [c21]Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff:
Evolutionary multi-objective optimisation with a hybrid representation. IEEE Congress on Evolutionary Computation 2003: 2262-2269 - [c20]Yaochu Jin, Bernhard Sendhoff:
Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach. EMO 2003: 237-251 - [c19]Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff:
Solving Three-Objective Optimization Problems Using Evolutionary Dynamic Weighted Aggregation: Results and Analysis. GECCO 2003: 636-637 - 2002
- [j4]Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
A framework for evolutionary optimization with approximate fitness functions. IEEE Trans. Evol. Comput. 6(5): 481-494 (2002) - [c18]Hans-Georg Beyer, Markus Olhofer, Bernhard Sendhoff:
On the Behavior of (μ/μ1, λ)-ES Optimizing Functions Disturbed by Generalized Noise. FOGA 2002: 307-328 - [c17]Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff:
On The Dynamics Of Evolutionary Multi-objective Optimization. GECCO 2002: 247-256 - [c16]Yaochu Jin, Bernhard Sendhoff:
Incorporation Of Fuzzy Preferences Into Evolutionary Multiobjective Optimization. GECCO 2002: 683 - [c15]Yaochu Jin, Bernhard Sendhoff:
Fitness Approximation In Evolutionary Computation - a Survey. GECCO 2002: 1105-1112 - [c14]Bernhard Sendhoff, Hans-Georg Beyer, Markus Olhofer:
The Influence of stochastic Quality Functions on Evolutionary Search. SEAL 2002: 152-172 - 2001
- [c13]Markus Olhofer, Yaochu Jin, Bernhard Sendhoff:
Adaptive encoding for aerodynamic shape optimization using evolution strategies. CEC 2001: 576-583 - [c12]Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
Managing approximate models in evolutionary aerodynamic design optimization. CEC 2001: 592-599 - [c11]Yaochu Jin, Tatsuya Okabe, Bernhard Sendhoff:
Adapting Weighted Aggregation for Multiobjective Evolution Strategies. EMO 2001: 96-110 - 2000
- [c10]Bernhard Sendhoff:
Evolutionary optimised ontogenetic neural networks with incremental problem complexity during development. CEC 2000: 1443-1450 - [c9]Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
On Evolutionary Optimization with Approximate Fitness Functions. GECCO 2000: 786-793
1990 – 1999
- 1999
- [j3]Bernhard Sendhoff, Martin Kreutz:
A Model for the Dynamic Interaction Between Evolution and Learning. Neural Process. Lett. 10(3): 181-193 (1999) - [j2]Yaochu Jin, Bernhard Sendhoff:
Knowledge Incorporation into Neural Networks From Fuzzy Rules. Neural Process. Lett. 10(3): 231-242 (1999) - [j1]Yaochu Jin, Werner von Seelen, Bernhard Sendhoff:
On generating FC3 fuzzy rule systems from data using evolution strategies. IEEE Trans. Syst. Man Cybern. Part B 29(6): 829-845 (1999) - [c8]Martin Kreutz, Anja M. Reimetz, Bernhard Sendhoff, Claus Weihs, Werner von Seelen:
Structure optimization of density estimation models applied to regression problems with dynamic noise. AISTATS 1999 - [c7]Bernhard Sendhoff, Martin Kreutz:
Variable encoding of modular neural networks for time series prediction. CEC 1999: 259-266 - 1998
- [b1]Bernhard Sendhoff:
Evolution of structures: optimization of artificial neural structures for information processing. Ruhr University Bochum, Germany, Shaker 1998, ISBN 978-3-8265-4155-1, pp. 1-201 - [c6]Martin Kreutz, Anja M. Reimetz, Bernhard Sendhoff, Claus Weihs, Werner von Seelen:
Optimisation of Density Estimation Models with Evolutionary Algorithms. PPSN 1998: 998-1007 - 1997
- [c5]Peter Stagge, Bernhard Sendhoff:
An Extended Elman Net for Modeling Time Series. ICANN 1997: 427-432 - [c4]Bernhard Sendhoff, Martin Kreutz:
Evolutionary Optimization of the Structure of Neural Networks by a Recursive Mapping as Encoding. ICANNGA 1997: 368-372 - [c3]Christian Goerick, Bernhard Sendhoff, Werner von Seelen:
From neural networks to neural strategies. ICASSP 1997: 119-122 - [c2]Bernhard Sendhoff, Martin Kreutz, Werner von Seelen:
A Condition for the Genotype-Phenotype Mapping: Causality. ICGA 1997: 73-80 - 1996
- [c1]Bernhard Sendhoff, Martin Kreutz:
Analysis of Possible Genome-Dependence of Mutation Rates in Genetic Algorithms. Evolutionary Computing, AISB Workshop 1996: 257-268 - [e1]Christoph von der Malsburg, Werner von Seelen, Jan C. Vorbrüggen, Bernhard Sendhoff:
Artificial Neural Networks - ICANN 96, 1996 International Conference, Bochum, Germany, July 16-19, 1996, Proceedings. Lecture Notes in Computer Science 1112, Springer 1996, ISBN 3-540-61510-5 [contents]
Coauthor Index
[j45] [j39] [j34] [j32] [j28] [j27] [j26] [j25] [j24] [c91] [c86] [c85] [j22] [c84] [c83] [c82] [j20] [j19] [j18] [j17] [c81] [c80] [c79] [c78] [c76] [p7] [j15] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [p5] [p3] [j13] [c65] [c64] [c61] [c59] [c58] [c57] [p2] [j11] [c54] [c53] [c51] [c50] [c48] [p1] [j8] [c45] [c44] [c43] [c42] [c40] [c36] [c35] [c33] [c32] [c31] [c28] [j5] [c26] [c25] [c24] [c22] [c21] [c20] [c19] [j4] [c17] [c16] [c15] [c13] [c12] [c11] [c9] [j2] [j1]
[j46] [c132] [c131] [i3] [i2] [j44] [j43] [j41] [c130] [c129] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [c118] [c117] [c116] [c115] [i1] [c114] [c113] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [d4] [d3] [d2] [d1] [j40] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [j28] [c92] [c90] [j16] [p4] [c55] [c49]
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