论文部分内容阅读
无论是在生活经济还是在人文科学方面,人们所遇上的大部分问题在某种程度上能归成多目标方向的优化问题这一类当中。在面临这样的问题时,很多时候需要对多个目标进行优化,然而在优化的同时还需要考虑所优化的问题之间存在着相互抵御的矛盾关系,具体表现为在优化的同时会冒出一方面越来越好可是另外一个方面却越来越差劲的窘况,所以这从正面反映了对问题进行多目标优化的难度是不小的。但是在各种领域当中,多目标优化是人们所追求的快速方法,所以本文以差分进化算法的多级目标优化方案进行了探究。
Most of the problems that people encounter, both in the realm of living and in the humanities, are in some ways classified as multi-objective optimization problems. In the face of such problems, many times need to optimize a number of goals, but in the optimization also need to consider the optimization of the problem there is a mutual contradiction between the conflict, specifically reflected in the optimization will emerge As the aspect gets better and better, but the other aspect is getting worse and worse, so this is a positive reflection of the multi-objective optimization of the difficulty of the problem is not small. However, among various fields, multi-objective optimization is a fast method pursued by people. Therefore, this paper explores the multi-objective optimization scheme of differential evolution algorithm.