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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Bibliographic Details
Main Authors: Jiang, S., Chen, Zefeng
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering
Multi-Objective Optimization
Evolutionary Algorithm
Online Access:https://hdl.handle.net/10356/154500
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/154500

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