A two-phase evolutionary algorithm framework for multi-objective optimization

A two-phase evolutionary algorithm framework for multi-objective optimization

This paper proposes a two-phase evolutionary algorithm framework for solving multi-objective optimization problems (MOPs), which allows different users to flexibly handle MOPs with different existing algorithms. In the first phase, a specific multi-objective evolutionary algorithm (MOEA) with a smal...

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書目詳細資料
Main Authors:	Jiang, S., Chen, Zefeng
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2021
主題:	Engineering::Computer science and engineering Multi-Objective Optimization Evolutionary Algorithm
在線閱讀:	https://hdl.handle.net/10356/154500
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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