Miqing Li
Zitiert von
Zitiert von
A grid-based evolutionary algorithm for many-objective optimization
S Yang, M Li, X Liu, J Zheng
IEEE Transactions on Evolutionary Computation 17 (5), 721-736, 2013
Shift-based density estimation for Pareto-based algorithms in many-objective optimization
M Li, S Yang, X Liu
IEEE Transactions on Evolutionary Computation 18 (3), 348-365, 2014
Evolutionary multi-objective workflow scheduling in cloud
Z Zhu, GX Zhang, M Li, X Liu
IEEE Transactions on Parallel and Distributed Systems 27 (5), 1344-1357, 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
A vector angle based evolutionary algorithm for unconstrained many-objective optimization
Y Xiang, Z Yuren, M Li, Z Chen
IEEE Transactions on Evolutionary Computation 21 (1), 131-152, 2017
Stable matching-based selection in evolutionary multiobjective optimization
K Li, Q Zhang, S Kwong, M Li, R Wang
IEEE Transactions on Evolutionary Computation 18 (6), 909-923, 2014
Quality evaluation of solution sets in multiobjective optimisation: A survey
M Li, X Yao
ACM Computing Surveys 52 (2), 2019
Pareto or non-Pareto: Bi-criterion evolution in multi-objective optimization
M Li, S Yang, X Liu
IEEE Transactions on Evolutionary Computation 20 (5), 645-665, 2016
Bi-goal evolution for many-objective optimization problems
M Li, S Yang, X Liu
Artificial Intelligence 228, 45-65, 2015
Diversity comparison of Pareto front approximations in many-objective optimization
M Li, S Yang, X Liu
IEEE Transactions on Cybernetics 44 (12), 2568-2584, 2014
Achieving balance between proximity and diversity in multi-objective evolutionary algorithm
K Li, S Kwong, J Cao, M Li, J Zheng, R Shen
Information Sciences 182 (1), 220-242, 2012
What weights work for you? Adapting weights for any Pareto front shape in decomposition-based evolutionary multi-objective optimisation
M Li, X Yao
Evolutionary Computation 28 (2), 227-253, 2020
SIP: Optimal product selection from feature models using many-objective evolutionary optimisation
RM Hierons, M Li, X Liu, S Segura, W Zheng
ACM Transactions on Software Engineering and Methodology 25 (2), 2016
Diversity assessment of multi-objective evolutionary algorithms: Performance metric and benchmark problems
Y Tian, R Cheng, X Zhang, M Li, Y Jin
IEEE Computational Intelligence Magazine 14 (3), 61-74, 2019
How to read many-objective solution sets in parallel coordinates
M Li, L Zhen, X Yao
IEEE Computational Intelligence Magazine 12 (4), 88-97, 2017
Evolutionary multiobjective optimization-based multimodal optimization: Fitness landscape approximation and peak detection
R Cheng, M Li, K Li, X Yao
IEEE Transactions on Evolutionary Computation 22 (5), 692-706, 2018
Multi-objective evolutionary simulated annealing optimisation for mixed-model multi-robotic disassembly line balancing with interval processing time
Y Fang, H Ming, M Li, Q Liu, DT Pham
International Journal of Production Research 58 (3), 846-862, 2020
Evolutionary many-objective optimization for mixed-model disassembly line balancing with multi-robotic workstations
Y Fang, Q Liu, M Li, Y Laili, DT Pham
European Journal of Operational Research 276 (1), 160-174, 2019
Spread assessment for evolutionary multi-objective optimization
M Li, J Zheng
Evolutionary Multi-Criterion Optimization (EMO), 216-230, 2009
An angle dominance criterion for evolutionary many-objective optimization
Y Liu, N Zhu, K Li, M Li, J Zheng, K Li
Information Sciences 509, 376-399, 2020
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