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Yaochu Jin
Yaochu Jin
A. v. Humboldt Professor for AI, Bielefeld University, Germany; University of Surrey, UK
Verified email at uni-bielefeld.de - Homepage
Title
Cited by
Cited by
Year
Evolutionary optimization in uncertain environments-a survey
Y Jin, J Branke
IEEE Transactions on Evolutionary Computation 9 (3), 303-317, 2005
18552005
A comprehensive survey of fitness approximation in evolutionary computation
Y Jin
Soft computing 9 (1), 3-12, 2005
14322005
Surrogate-assisted evolutionary computation: Recent advances and future challenges
Y Jin
Swarm and Evolutionary Computation 1 (2), 61-70, 2011
11382011
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization
Y Tian, R Cheng, X Zhang, Y Jin
IEEE Computational Intelligence Magazine 12 (4), 73 - 87, 2017
11292017
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
R Cheng, Y Jin, O Markus, B Sendhoff
IEEE Transactions on Evolutionary Computation 20 (5), 773 - 791, 2016
10412016
RM-MEDA: A regularity model-based multiobjective estimation of distribution algorithm
Q Zhang, A Zhou, Y Jin
IEEE Transactions on Evolutionary Computation 12 (1), 41-63, 2008
8022008
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
7612002
A Competitive Swarm Optimizer for Large Scale Optimization.
R Cheng, Y Jin
IEEE Transactions on Cybernetics 45 (2), 191-204, 2015
6702015
A Knee Point Driven Evolutionary Algorithm for Many-Objective Optimization
X Zhang, Y Tian, Y Jin
IEEE Transactions on Evolutionary Computation 19 (6), 761-776, 2015
6472015
A social learning particle swarm optimization algorithm for scalable optimization
R Cheng, Y Jin
Information Sciences 291, 43-60, 2015
6172015
Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement
Y Jin
IEEE Transactions on Fuzzy Systems 8 (2), 212-221, 2000
6102000
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
4582008
Generalizing surrogate-assisted evolutionary computation
D Lim, Y Jin, YS Ong, B Sendhoff
IEEE Transactions on Evolutionary Computation 14 (3), 329-355, 2009
4442009
An Efficient Approach to Non-dominated Sorting for Evolutionary Multi-objective Optimization
X Zhang, Y Tian, R Cheng, Y Jin
IEEE Transactions on Evolutionary Computation 19 (2), 201-213, 2015
4402015
An indicator-based multiobjective evolutionary algorithm with reference point adaptation for better versatility
Y Tian, R Cheng, X Zhang, F Cheng, Y Jin
IEEE Transactions on Evolutionary Computation 22 (4), 609-622, 2017
4092017
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
3962003
A decision variable clustering-based evolutionary algorithm for large-scale many-objective optimization
X Zhang, Y Tian, R Cheng, Y Jin
IEEE Transactions on evolutionary Computation 22 (1), 97-112, 2016
3602016
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
3482006
A surrogate-assisted reference vector guided evolutionary algorithm for computationally expensive many-objective optimization
T Chugh, Y Jin, K Miettinen, J Hakanen, K Sindhya
IEEE Transactions on Evolutionary Computation 22 (1), 129-142, 2016
3372016
Dynamic weighted aggregation for evolutionary multi-objective optimization: Why does it work and how?
Y Jin, M Olhofer, B Sendhoff
Genetic and Evolutionary Computation Conference GECCO., 1042-1049, 2001
3302001
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