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

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

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...