Differential evolution for solving multi-objective optimization problems: a survey of the state-of-the-art
Yuge Xu · Control theory & applications · 2013
Differential evolution(DE) is a simple but powerful evolutionary optimization algorithm.It has drawn the attention of researchers all round the globe with its perfect performance since its inception.As a global search of metaheuristics based on population,DE has many successful scientific and engineering applications.A survey of DE for solving multi-objective optimization problems(MOPs) is presented.A detailed review of the basic concepts of DE is provided.Several important variants of DE for solving MOPs are presented.Moreover,the theoretical analyses on DE for solving MOPs are provided.Finally,the engineering applications of DE for solving MOPs and its future challenging field are also pointed out in the remainder of this paper.