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

• المؤلفون الرئيسيون: Elarbi, Maha, Bechikh, Slim, Gupta, Abhishek, Said, Lamjed Ben, Ong, Yew-Soon
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Decomposition; Evolutionary Algorithms
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/140025
• المؤسسة: 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...