摘要
为了求解多目标优化问题,提出一种基于混沌搜索的多目标模糊混沌优化算法.将混沌优化方法与模糊优化方法有机地结合起来,应用混沌优化算法求出各个单目标的最优解;将各最优解模糊化;应用模糊非对称方法的思想和模糊集合理论中的最大满意度原理,将多目标优化问题转化为单目标非线性规划问题;最后应用混沌优化算法求解单目标优化问题,得到满意度最大的解.结果表明,所提出的多目标模糊混沌优化算法是可行和有效的,为求解多目标优化问题提供了一种新的有效方法.
In order to solve multi-objective optimization problems, one kind multi-objective luzzy chaos optimization algorithm is proposed based on the chaos search the criterion, ie MSFCOA. Its essential method is organically unifying the chaos optimization method and the fuzzy optimized method, then applying firstly COA to extract each simple target＇s optimal solution; then making various optimal solutions fuzzy; in the fuzzy set theory＇s biggest degree of satisfaction principle, it is transformed once more multi-objective optimization question as the simple target nonlinear programming problem; finally it is optimized the question using COA algorithm solution simple target question. The computation indicated that MFCOA is feasible and effective, which is a new effective solution to multi-objective optimization problems.
出处
《宁夏大学学报（自然科学版）》
CAS
2012年第2期182-185,共4页
Journal of Ningxia University(Natural Science Edition)
基金
河海大学创新基金资助项目(CC2007-004)
关键词
优化
多目标
模糊优化
混沌优化
optimization
multi-objectives
fuzzy optimization
chaos optimization
