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在多目标进化系统中一个关键问题是必须采取某一措施来保持群体多样性,本文将自然生命的免疫机制引入多目标进化过程,提出一种基于免疫原理的多目标进化算法群体多样性保持策略,并给出了具体设计方法,最后以两个目标的流水车间作业调度问题为例进行计算机模拟求解,将本文方法与“多目标遗传算法”的计算结果进行了对比,实验表明该方法能有效保持群体多样性,多目标优化结果的性能较好。
A key issue in multi-objective evolutionary systems is that certain measures must be taken to maintain group diversity. In this paper, the immune mechanism of natural life is introduced into the multi-objective evolutionary process, and a multi-objective evolutionary algorithm based on immune principles is proposed , And gives the specific design method. Finally, the two-objective job-shop scheduling problem is taken as an example to solve the problem by computer simulation. The results of this paper are compared with those of the “Multi-Objective Genetic Algorithm” Can effectively maintain the diversity of groups, the performance of multi-objective optimization results is better.