一种新环境选择策略的多模态多目标优化算法

doi:10.3969/j.issn.0255-8297.2022.05.003

应用科学学报 ›› 2022, Vol. 40 ›› Issue (5): 739-748.doi: 10.3969/j.issn.0255-8297.2022.05.003

一种新环境选择策略的多模态多目标优化算法

张国晨, 刘鹏飞, 孙超利

太原科技大学计算机科学与技术学院, 山西太原 030024

收稿日期:2022-06-06 出版日期:2022-09-30 发布日期:2022-09-30
通信作者: 孙超利,教授,研究方向为计算智能。E-mail:chaoli.sun@tyust.edu.cn E-mail:chaoli.sun@tyust.edu.cn
基金资助:
国家自然科学基金（No.61876123）；山西省重点研发计划项目（No.202102020101002）；山西省自然科学基金（No.201901D111264）；多模态认知计算安徽省重点实验室（安徽大学）2020年度开放课题（No.MMC202011）资助

Multi-model Multi-objective Optimization Algorithms with a New Environmental Selection Strategy

ZHANG Guochen, LIU Pengfei, SUN Chaoli

College of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, Shanxi, China

Received:2022-06-06 Online:2022-09-30 Published:2022-09-30

摘要/Abstract

摘要： 为了获得多模态多目标优化问题较优解集，本文针对差分进化算法提出了一种新的环境选择策略，一方面通过保留种群中非支配解确保目标空间的收敛性，另一方面通过和参考向量关联获得目标空间分布性较好的种群，通过同时考虑目标空间收敛性和决策空间多样性来选择下一代父代个体。在11个多模态多目标测试函数上的结果表明，本文算法在求解多模态多目标优化问题上是有效的。

关键词: 多模态, 多目标, 环境选择, 差分进化算法

Abstract: In order to achieve the optimal solutions for multi-model multi-objective problems, in this paper a new environmental selection strategy is proposed for differential evolution approach. First, non-dominated solutions are kept to ensure the convergence in objective space; second, a population with good distribution in objective space is obtained by using its correlation with reference vectors; and then the next parent population is selected by simultaneously considering the convergence performance in objective space and the diversity performance in decision space. Experimental results on 11 multi-model multiobjective test problems show that the proposed method is efficient in solving multi-model multi-objective problems.

Key words: multi-modal, multi-objective, environmental selection, differential evolution algorithm

中图分类号:

TP391

张国晨, 刘鹏飞, 孙超利. 一种新环境选择策略的多模态多目标优化算法[J]. 应用科学学报, 2022, 40(5): 739-748.

ZHANG Guochen, LIU Pengfei, SUN Chaoli. Multi-model Multi-objective Optimization Algorithms with a New Environmental Selection Strategy[J]. Journal of Applied Sciences, 2022, 40(5): 739-748.

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一种新环境选择策略的多模态多目标优化算法

Multi-model Multi-objective Optimization Algorithms with a New Environmental Selection Strategy

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