基于指标的多目标进化算法研究进展

2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS) Pub Date : 2021-11-07 DOI:10.1109/CCIS53392.2021.9754639

Zilu Huang, Feng Wang

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引用次数: 1

摘要

本文对基于指标的多目标进化算法(IBEAs)进行了综述。(1)提出了基于量的IBEAs和基于距离的IBEAs的分类方法;2)根据不同指标的计算过程，详细讨论了IBEAs的特点;(3)提出了IBEAs未来的研究方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Review on Indicator-based Multi-objective Evolutionary Algorithms

In this paper, we provide a review of indicator based multi-objective evolutionary algorithms (IBEAs). 1) A taxonomy that classifies IBEAs into two categories has been given, including volume-based IBEAs and distance-based IBEAs; 2) The characteristics of IBEAs have been discussed in detail based on the calculation process of different indicators; and 3) Some future research directions on IBEAs have been put forward.

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来源期刊

2021 IEEE 7th International Conference on Cloud Computing and Intelligent Systems (CCIS)

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