Evolutionary optimization in uncertain environments-a survey Y Jin, J Branke IEEE Transactions on Evolutionary Computation 9 (3), 303-317, 2005 | 1958 | 2005 |
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 | 1845 | 2017 |
A comprehensive survey of fitness approximation in evolutionary computation Y Jin Soft computing 9 (1), 3-12, 2005 | 1535 | 2005 |
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 | 1403 | 2016 |
Surrogate-assisted evolutionary computation: Recent advances and future challenges Y Jin Swarm and Evolutionary Computation 1 (2), 61-70, 2011 | 1367 | 2011 |
A Competitive Swarm Optimizer for Large Scale Optimization. R Cheng, Y Jin IEEE Transactions on Cybernetics 45 (2), 191-204, 2015 | 933 | 2015 |
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 | 903 | 2008 |
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 | 810 | 2002 |
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 | 794 | 2015 |
A social learning particle swarm optimization algorithm for scalable optimization R Cheng, Y Jin Information Sciences 291, 43-60, 2015 | 735 | 2015 |
Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement Y Jin IEEE Transactions on Fuzzy Systems 8 (2), 212-221, 2000 | 631 | 2000 |
A survey of deep learning applications to autonomous vehicle control S Kuutti, R Bowden, Y Jin, P Barber, S Fallah IEEE Transactions on Intelligent Transportation Systems 22 (2), 712-733, 2020 | 588 | 2020 |
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 | 579 | 2017 |
Federated learning on non-IID data: A survey H Zhu, J Xu, S Liu, Y Jin Neurocomputing 465, 371-390, 2021 | 551 | 2021 |
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 | 528 | 2015 |
Pareto-based multiobjective machine learning: An overview and case studies Y Jin, B Sendhoff IEEE Transactions on Systems, Man, and Cybernetics, Part C 38 (3), 397-415, 2008 | 525 | 2008 |
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 | 518 | 2016 |
Generalizing surrogate-assisted evolutionary computation D Lim, Y Jin, YS Ong, B Sendhoff IEEE Transactions on Evolutionary Computation 14 (3), 329-355, 2009 | 506 | 2009 |
Data-driven evolutionary optimization: An overview and case studies Y Jin, H Wang, T Chugh, D Guo, K Miettinen IEEE Transactions on Evolutionary Computation 23 (3), 442-458, 2018 | 501 | 2018 |
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 | 497 | 2016 |