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
Hans-Georg BeyerProfessor, Vorarlberg University of Applied SciencesVerified email at fhv.at
Yew-Soon OngPresident Chair Professor of Computer Science, A*Star AI Chief Scientist, FIEEEVerified email at ntu.edu.sg
Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayVerified email at liacs.leidenuniv.nl
Ran Cheng (程然)Associate Professor, Southern University of Science and Technology (SUSTech)Verified email at sustech.edu.cn
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
Leandro MinkuAssociate Professor, University of BirminghamVerified email at bham.ac.uk
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
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
Christian IgelDepartment of Computer Science, University of CopenhagenVerified email at diku.dk

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	2126	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	1514	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	829	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	538	2008
Generalizing surrogate-assisted evolutionary computation D Lim, Y Jin, YS Ong, B Sendhoff IEEE Transactions on Evolutionary Computation 14 (3), 329-355, 2009	522	2009
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	422	2006
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	416	2003
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	368	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	336	2015
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	327	2016
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	301	2006
Trade-off between performance and robustness: An evolutionary multiobjective approach Y Jin, B Sendhoff International conference on evolutionary multi-criterion optimization, 237-251, 2003	298	2003
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	269	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	268	2007
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	268	1999
On Evolutionary Optimization with Approximate Fitness Functions. Y Jin, M Olhofer, B Sendhoff Gecco, 786-793, 2000	246	2000
Reducing fitness evaluations using clustering techniques and neural network ensembles Y Jin, B Sendhoff Genetic and Evolutionary Computation Conference, 688-699, 2004	232	2004
Adapting weighted aggregation for multiobjective evolution strategies Y Jin, T Okabe, B Sendho International conference on evolutionary multi-criterion optimization, 96-110, 2001	211	2001
A systems approach to evolutionary multiobjective structural optimization and beyond Y Jin, B Sendhoff IEEE Computational Intelligence Magazine 4 (3), 62-76, 2009	193	2009
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	189	2004

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