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A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts

Yicun Hua Qiqi Liu Kuangrong Hao Yaochu Jin

自动化学报（英文版）2021，Vol.8Issue(2)：303-318,16.

自动化学报（英文版）2021，Vol.8Issue(2)：303-318,16.DOI:10.1109/JAS.2021.1003817

A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts

Yicun Hua ¹Qiqi Liu ²Kuangrong Hao ¹Yaochu Jin³

作者信息

1. College of Information Sciences and Technology, Donghua University, Shanghai 201620, China
2. Department of Computer Science, University of Surrey, Guildford, Surrey GU27XH, U.K
3. College of Information Science and Technology, Donghua University, Shanghai 201620, China
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摘要

关键词

Evolutionary algorithm/machine learning/multi-objective optimization problems (MOPs)/irregular Pareto fronts

Key words

Evolutionary algorithm/machine learning/multi-objective optimization problems (MOPs)/irregular Pareto fronts

引用本文复制引用

Yicun Hua,Qiqi Liu,Kuangrong Hao,Yaochu Jin..A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts[J].自动化学报（英文版）,2021,8(2):303-318,16.

基金项目

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)). （61806051, 61903078）

自动化学报（英文版）

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