关键词: 免疫原理, 记忆克隆选择, 多目标, Pareto解, 亲和度

Abstract: A novel Multi-Objective Immune Algorithm based on Memory Clonal Selection（MOIA-MCS） is proposed in this paper by introducing the mechanism of clonal selection in organismal immune system.A kind of affinity calculational methods is reasonably constructed in the new algorithm which searches not only for the Pareto solution roundly in the antibody group，but also for parcel in memory group.So it can improve the searching efficiency and convergence.Finally，the performance comparison has been made between the new method and the traditional multi-objective evolutionary algorithm NSGA-II by using six typical testing functions in algorithm simulation experiment.Experimental results indicate that the proposed approach can resolve the problem of multi-objective effectively and has better performances.

Key words: immune principle, memory clonal selection, multi-objective, Pareto optimal solution, affinity