A new decomposition-based NSGA-II for many-objective optimization

A new decomposition-based NSGA-II for many-objective optimization

Multiobjective evolutionary algorithms (MOEAs) have proven their effectiveness and efficiency in solving problems with two or three objectives. However, recent studies show that MOEAs face many difficulties when tackling problems involving a larger number of objectives as their behavior becomes simi...

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Bibliographic Details
Main Authors: Elarbi, Maha, Bechikh, Slim, Gupta, Abhishek, Said, Lamjed Ben, Ong, Yew-Soon
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Engineering::Computer science and engineering
Decomposition
Evolutionary Algorithms
Online Access:https://hdl.handle.net/10356/140025

Internet

https://hdl.handle.net/10356/140025

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