Yaochu Jin, Fellow IEEE, Web of Science Highly Cited Researcher (2019, 2020)
Yaochu Jin, Fellow IEEE, Web of Science Highly Cited Researcher (2019, 2020)
Distinguished Chair, Professor in Computational Intelligence, University of Surrey, UK
Verified email at surrey.ac.uk - 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
17352005
A comprehensive survey of fitness approximation in evolutionary computation
Y Jin
Soft computing 9 (1), 3-12, 2005
12932005
Surrogate-assisted evolutionary computation: Recent advances and future challenges
Y Jin
Swarm and Evolutionary Computation 1 (2), 61-70, 2011
8352011
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
6782002
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
6572008
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
6152016
Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement
Y Jin
IEEE Transactions on Fuzzy Systems 8 (2), 212-221, 2000
5762000
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
5022017
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
4502015
A social learning particle swarm optimization algorithm for scalable optimization
R Cheng, Y Jin
Information Sciences 291, 43-60, 2015
4072015
A Competitive Swarm Optimizer for Large Scale Optimization.
R Cheng, Y Jin
IEEE Transactions on Cybernetics 45 (2), 191-204, 2015
3852015
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
3822008
Generalizing surrogate-assisted evolutionary computation
D Lim, Y Jin, YS Ong, B Sendhoff
IEEE Transactions on Evolutionary Computation 14 (3), 329-355, 2009
3612009
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
3552003
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
3332015
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
2932001
Trade-off between performance and robustness: An evolutionary multiobjective approach
Y Jin, B Sendhoff
Evolutionary Multi-Criterion Optimization, LNCS 2632, 237-251, 2003
2722003
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
2671999
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
2632006
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
2502007
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