Bernhard Sendhoff

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Yaochu JinChair Professor for AI, MAE FIEEE, Westlake University, China; University of Surrey, UKVerified email at westlake.edu.cn
OlhoferHonda Research Institute EuropeVerified email at honda-ri.de
Xin YaoSouthern University of Science and Technology and University of Birmingham (UK)Verified email at cs.bham.ac.uk
Hans-Georg BeyerProfessor, Vorarlberg University of Applied SciencesVerified email at fhv.at
Yew-Soon OngPresident Chair Professor of Computer Science, A*Star AI Chief ScientistVerified email at ntu.edu.sg
Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayVerified email at liacs.leidenuniv.nl
Prof. Aimin ZhouEast China Normal UniversityVerified email at cs.ecnu.edu.cn
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongVerified email at cityu.edu.hk
Ran Cheng (程然)Associate Professor, Southern University of Science and Technology (SUSTech)Verified email at sustech.edu.cn
Heiko WersingHonda Research Institute EuropeVerified email at honda-ri.de
Ke TangProfessor, Southern University of Science and TechnologyVerified email at sustech.edu.cn
Lars GraeningDynardo GmbH, an Ansys companyVerified email at ansys.com
Leandro MinkuAssociate Professor, University of BirminghamVerified email at bham.ac.uk
Thiago RiosScientist, Honda Research Institute Europe GmbHVerified email at honda-ri.de
Niki van SteinLeiden UniversityVerified email at liacs.leidenuniv.nl
Haobo FuTencent AI Lab, University of BirminghamVerified email at tencent.com
Kawecki, Tadeusz J.Professor of Evolutionary Biology, University of LausanneVerified email at unil.ch
Kaname NarukawaRakuten Group, Inc.Verified email at rakuten.com
Helge RitterProfessor of Neuroinformatics, Bielefeld UniversityVerified email at techfak.uni-bielefeld.de
Olaf SpornsDistinguished Professor, Psychological and Brain Sciences, Indiana UniversityVerified email at indiana.edu

Bernhard Sendhoff

Honda Research Institute Europe

Verified email at honda-ri.de - Homepage

Computational Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Robust optimization–a comprehensive survey HG Beyer, B Sendhoff Computer methods in applied mechanics and engineering 196 (33-34), 3190-3218, 2007	2011	2007
A reference vector guided evolutionary algorithm for many-objective optimization R Cheng, Y Jin, M Olhofer, B Sendhoff IEEE Transactions on Evolutionary Computation 20 (5), 773-791, 2016	1250	2016
A framework for evolutionary optimization with approximate fitness functions Y Jin, M Olhofer, B Sendhoff IEEE Transactions on evolutionary computation 6 (5), 481-494, 2002	794	2002
Pareto-based multiobjective machine learning: An overview and case studies Y Jin, B Sendhoff IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2008	498	2008
Generalizing surrogate-assisted evolutionary computation D Lim, Y Jin, YS Ong, B Sendhoff IEEE Transactions on Evolutionary Computation 14 (3), 329-355, 2009	479	2009
A critical survey of performance indices for multi-objective optimisation T Okabe, Y Jin, B Sendhoff The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 2, 878-885, 2003	408	2003
Combining model-based and genetics-based offspring generation for multi-objective optimization using a convergence criterion A Zhou, Y Jin, Q Zhang, B Sendhoff, E Tsang 2006 IEEE international conference on evolutionary computation, 892-899, 2006	385	2006
Dynamic weighted aggregation for evolutionary multi-objective optimization: Why does it work and how Y Jin, M Olhofer, B Sendhoff Proceedings of the genetic and evolutionary computation conference, 1042-1049, 2001	348	2001
A multiobjective evolutionary algorithm using Gaussian process-based inverse modeling R Cheng, Y Jin, K Narukawa, B Sendhoff IEEE Transactions on Evolutionary Computation 19 (6), 838-856, 2015	297	2015
Trade-off between performance and robustness: An evolutionary multiobjective approach Y Jin, B Sendhoff International conference on evolutionary multi-criterion optimization, 237-251, 2003	291	2003
Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms K Foli, T Okabe, M Olhofer, Y Jin, B Sendhoff International Journal of Heat and Mass Transfer 49 (5-6), 1090-1099, 2006	289	2006
On generating fc/sup 3/fuzzy rule systems from data using evolution strategies Y Jin, W Von Seelen, B Sendhoff IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 29 …, 1999	278	1999
Test problems for large-scale multiobjective and many-objective optimization R Cheng, Y Jin, M Olhofer IEEE transactions on cybernetics 47 (12), 4108-4121, 2016	272	2016
Efficient hierarchical parallel genetic algorithms using grid computing D Lim, YS Ong, Y Jin, B Sendhoff, BS Lee Future Generation Computer Systems 23 (4), 658-670, 2007	263	2007
Prediction-based population re-initialization for evolutionary dynamic multi-objective optimization A Zhou, Y Jin, Q Zhang, B Sendhoff, E Tsang International conference on evolutionary multi-criterion optimization, 832-846, 2007	253	2007
On Evolutionary Optimization with Approximate Fitness Functions. Y Jin, M Olhofer, B Sendhoff Gecco, 786-793, 2000	233	2000
Reducing fitness evaluations using clustering techniques and neural network ensembles Y Jin, B Sendhoff Genetic and Evolutionary Computation Conference, 688-699, 2004	221	2004
Adapting weighted aggregation for multiobjective evolution strategies Y Jin, T Okabe, B Sendho International Conference on Evolutionary Multi-Criterion Optimization, 96-110, 2001	208	2001
Neural network regularization and ensembling using multi-objective evolutionary algorithms Y Jin, T Okabe, B Sendhoff Proceedings of the 2004 congress on evolutionary computation (IEEE Cat. No …, 2004	184	2004
Constructing dynamic optimization test problems using the multi-objective optimization concept Y Jin, B Sendhoff Workshops on Applications of Evolutionary Computation, 525-536, 2004	183	2004

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