A two-phase evolutionary algorithm framework for multi-objective optimization

• المؤلفون الرئيسيون: Jiang, S., Chen, Zefeng
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Computer science and engineering; Multi-Objective Optimization; Evolutionary Algorithm
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/154500
• المؤسسة: Nanyang Technological University

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...