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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書目詳細資料
Main Authors:	Elarbi, Maha, Bechikh, Slim, Gupta, Abhishek, Said, Lamjed Ben, Ong, Yew-Soon
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2020
主題:	Engineering::Computer science and engineering Decomposition Evolutionary Algorithms
在線閱讀:	https://hdl.handle.net/10356/140025
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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