有关多目标遗传算法的研究

Study On Multi-objective Genetic Algorithm

概括介绍了目前的多目标遗传算法 (MOGA) ,并给出了一种新形式的MOGA ,也就是稳定态非受控排序遗传算法 (SNSGA)。该算法是把单目标遗传算法中的部分更新种群观点和非受控排序遗传算法中的适应度指派方法相结合而实现的 ,改进了适应度指派方法并提出了一种新的浕ｓｈａｒｅ自适应决策方案诎ㄒ糯惴烟夂鸵糯惴ㄆ燮侍獾氖笛橹?。

This paper generalizes multi-objective genetic algorithm(MOGA) and summerizzes a new-patter MOGA.It's stable non-controlled sort genetic algorithm(SNSGA).This algorithm combines the viewpoint of part-updated species in single-objective genetic algorithm(SOGA) with the means of adaption degree assignment in SNSEA and develops the means.It also puts for ward a new-typed a shared self-adaptability decision project.In some exerments,sush as genetic arithmetic problems and genetic arithmetic deceiving problems,this algorithm is successfully realized.