Intelligent Algorithms for Solving Multiobjective Optimization Problems
Hongxia Yi, Liu Xiao, Pu‐Kun Liu · 2008
This paper presents a comprehensive survey of many evolutionary algorithms for solving multiobjective optimization problems. Four main kinds of multiobjective algorithms (GA, PSO, SA, and AC) have been presented, and their merits and demerits are compared and discussed respectively. Finally, a mix algorithm is suggested as an effective method.