A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto FrontsOACSCD
A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts
Yicun Hua;Qiqi Liu;Kuangrong Hao;Yaochu Jin
College of Information Sciences and Technology, Donghua University, Shanghai 201620, ChinaDepartment of Computer Science, University of Surrey, Guildford, Surrey GU27XH, U.KCollege of Information Sciences and Technology, Donghua University, Shanghai 201620, ChinaCollege of Information Science and Technology, Donghua University, Shanghai 201620, China
Evolutionary algorithmmachine learningmulti-objective optimization problems (MOPs)irregular Pareto fronts
Evolutionary algorithmmachine learningmulti-objective optimization problems (MOPs)irregular Pareto fronts
《自动化学报（英文版）》 2021 (2)
303-318,16
This work was supported in part by the National Natural Science Foundation of China (61806051, 61903078), Natural Science Foundation of Shanghai (20ZR1400400), Agricultural Project of the Shanghai Committee of Science and Technology (16391902800), the Fundamental Research Funds for the Central Universities (2232020D-48), and the Project of the Humanities and Social Sciences on Young Fund of the Ministry of Education in China (Research on swarm intelligence collaborative robust optimization scheduling for high-dimensional dynamic decision-making system (20YJCZH052)).