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Surrogate-Assisted Particle Swarm Optimization Algorithm With Pareto Active Learning for Expensive Multi-Objective Optimization

Zhiming Lv Linqing Wang Zhongyang Han Jun Zhao Wei Wang

自动化学报（英文版）2019，Vol.6Issue(3)：838-849,12.

自动化学报（英文版）2019，Vol.6Issue(3)：838-849,12.DOI:10.1109/JAS.2019.1911450

Surrogate-Assisted Particle Swarm Optimization Algorithm With Pareto Active Learning for Expensive Multi-Objective Optimization

Zhiming Lv ¹Linqing Wang ¹Zhongyang Han ¹Jun Zhao ¹Wei Wang¹

作者信息

1. Faculty of Electronics Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China
折叠

摘要

关键词

Multiobjective optimization/Pareto active learning/particle swarm optimization (PSO)/surrogate

Key words

Multiobjective optimization/Pareto active learning/particle swarm optimization (PSO)/surrogate

引用本文复制引用

Zhiming Lv,Linqing Wang,Zhongyang Han,Jun Zhao,Wei Wang..Surrogate-Assisted Particle Swarm Optimization Algorithm With Pareto Active Learning for Expensive Multi-Objective Optimization[J].自动化学报（英文版）,2019,6(3):838-849,12.

基金项目

This work was supported by the National Natural Sciences Foundation of China (61603069,61533005,61522304,U1560102) and the National Key Research and Development Program of China (2017YFA0700300). （61603069,61533005,61522304,U1560102）

自动化学报（英文版）

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ISSN：2329-9266

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