Evolutionary Dynamic Multi-objective Optimisation: A Survey

Jiang Shouyong; Zou Juan; Yang ShengxiangYao Xin

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Evolutionary Dynamic Multi-objective Optimisation: A Survey

机译：Evolutionary Dynamic Multi-objective Optimisation: A Survey

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摘要

Evolutionary dynamic multi-objective optimisation (EDMO) is a relatively young but rapidly growing area of investigation. EDMO employs evolutionary approaches to handle multi-objective optimisation problems that have time-varying changes in objective functions, constraints, and/or environmental parameters. Due to the simultaneous presence of dynamics and multi-objectivity in problems, the optimisation difficulty for EDMO has a marked increase compared to that for single-objective or stationary optimisation. After nearly two decades of community effort, EDMO has achieved significant advancements on various topics, including theoretic research and applications. This article presents a broad survey and taxonomy of existing research on EDMO. Multiple research opportunities are highlighted to further promote the development of the EDMO research field.

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《ACM computing surveys》 |2023年第4期|76.1-76.47|共47页
作者
Jiang Shouyong; Zou Juan; Yang ShengxiangYao Xin;
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作者单位

Univ Aberdeen;

Xiangtan Univ;

De Montfort UnivSouthern Univ Sci & Technol;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类
关键词
Multi-objective optimisation; evolutionary algorithm; dynamic environment; evolutionary dynamic multi-objective optimisation;

Evolutionary Dynamic Multi-objective Optimisation: A Survey

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