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 | 2109 | 2017 |
A knee point driven evolutionary algorithm for many-objective optimization X Zhang, Y Tian, Y Jin IEEE Transactions on Evolutionary Computation, 2014 | 844 | 2014 |
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 | 629 | 2017 |
An efficient approach to non-dominated sorting for evolutionary multi-objective optimization X Zhang, T Ye, R Cheng, Y Jin IEEE Transactions on Evolutionary Computation, 1-1, 2014 | 559 | 2014 |
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, 2016 | 554 | 2016 |
A benchmark test suite for evolutionary many-objective optimization R Cheng, M Li, Y Tian, X Zhang, S Yang, Y Jin, X Yao Complex & Intelligent Systems 3, 67-81, 2017 | 444 | 2017 |
A coevolutionary framework for constrained multiobjective optimization problems Y Tian, T Zhang, J Xiao, X Zhang, Y Jin IEEE Transactions on Evolutionary Computation 25 (1), 102-116, 2020 | 432 | 2020 |
A classification-based surrogate-assisted evolutionary algorithm for expensive many-objective optimization L Pan, C He, Y Tian, H Wang, X Zhang, Y Jin IEEE Transactions on Evolutionary Computation 23 (1), 74-88, 2018 | 384 | 2018 |
A competitive mechanism based multi-objective particle swarm optimizer with fast convergence X Zhang, X Zheng, R Cheng, J Qiu, Y Jin Information Sciences 427, 63-76, 2018 | 355 | 2018 |
Efficient large-scale multiobjective optimization based on a competitive swarm optimizer Y Tian, X Zheng, X Zhang, Y Jin IEEE Transactions on Cybernetics 50 (8), 3696-3708, 2019 | 323 | 2019 |
An evolutionary algorithm for large-scale sparse multiobjective optimization problems Y Tian, X Zhang, C Wang, Y Jin IEEE Transactions on Evolutionary Computation 24 (2), 380-393, 2019 | 319 | 2019 |
A strengthened dominance relation considering convergence and diversity for evolutionary many-objective optimization Y Tian, R Cheng, X Zhang, Y Su, Y Jin IEEE Transactions on Evolutionary Computation 23 (2), 331-345, 2018 | 308 | 2018 |
Evolutionary large-scale multi-objective optimization: a survey Y Tian, L Si, X Zhang, R Cheng, C He, KC Tan, Y Jin ACM Computing Surveys 1 (1), 2021 | 287 | 2021 |
Accelerating large-scale multiobjective optimization via problem reformulation C He, L Li, Y Tian, X Zhang, R Cheng, Y Jin, X Yao IEEE Transactions on Evolutionary Computation 23 (6), 949-961, 2019 | 257 | 2019 |
Solving large-scale multiobjective optimization problems with sparse optimal solutions via unsupervised neural networks Y Tian, C Lu, X Zhang, KC Tan, Y Jin IEEE transactions on cybernetics 51 (6), 3115-3128, 2020 | 216 | 2020 |
Balancing objective optimization and constraint satisfaction in constrained evolutionary multiobjective optimization Y Tian, Y Zhang, Y Su, X Zhang, KC Tan, Y Jin IEEE Transactions on Cybernetics 52 (9), 9559-9572, 2021 | 212 | 2021 |
On the Universality of Axon P Systems X Zhang, L Pan, A Paun IEEE Transactions on Neural Networks and Learning Systems, 2015 | 191 | 2015 |
A multi-objective evolutionary algorithm based on an enhanced inverted generational distance metric Y Tian, X Zhang, R Cheng, Y Jin 2016 IEEE congress on evolutionary computation (CEC), 5222-5229, 2016 | 162 | 2016 |
Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources TO Ishdorj, A Leporati, L Pan, X Zeng, X Zhang Theoretical Computer Science 411 (25), 2345-2358, 2010 | 161 | 2010 |
Diversity assessment of multi-objective evolutionary algorithms: Performance metric and benchmark problems [research frontier] Y Tian, R Cheng, X Zhang, M Li, Y Jin IEEE Computational Intelligence Magazine 14 (3), 61-74, 2019 | 149 | 2019 |