Parallel Strength Pareto Multi-objective Evolutionary Algorithm
A parallel Strength Pareto Multi-objective Evolutionary Algorithm (PSPMEA) is proposed. PSPMEA is a parallel computing model designed for solving Pareto-based multi-objective optimization problems by using an evolutionary procedure. In this procedure, both global parallelization and island parallel evolutionary algorithm models are used. Each subpopulation evolves separately with different crossover and mutation probability,but they exchange individuals in the elitist archive. The benchmark problems numerical experiment results demonstrate that the proposed method can rapidly converge to the Pareto optimal front and spread widely along the front.
parallel genetic algorithm evolutionary computation multi-objective optimization
Shengwu Xiong Feng Li
School of Computer Science and Technology,Wuhan University of Technology,Wuhan 430070,P.R.China
国际会议
成都
英文
681-683
2003-08-27（万方平台首次上网日期，不代表论文的发表时间）