在经典差分进化的基础上,提出了一种基于空间距离的多目标差分进化算法(SD-MODE),与目前经典算法NSGA-Ⅱ和ε-MOEA进行比较,结果表明该算法拥有良好的分布性,同时也较好地改善了收敛性。
Based on the classical differential evolution,proposed a new multi-objective differential evolutionary algorithm based on spacial distance.Compared with NSGA-Ⅱ and ε-MOEA,the experimental results demonstrate that the new algorithm can obtain good convergence and can converge to the true Pareto front fast at the same time.