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基于模糊的多目标粒子群优化算法及应用
引用本文:于繁华,杨威,张利彪.基于模糊的多目标粒子群优化算法及应用[J].计算机仿真,2007,24(2):153-156.
作者姓名:于繁华  杨威  张利彪
作者单位:1. 长春师范学院信息技术学院,吉林,长春,130032
2. 吉林大学计算机科学与技术学院,吉林,长春,130012
摘    要:粒子群优化算法的思想来源于人工生命和进化计算理论,由于其容易理解、易于实现,在很多领域得到了应用.由于传统的粒子群优化算法无法对多目标优化问题进行求解,因此文中利用模糊理论中的隶属度函数和给定的最优解评估选取原则,提出了一种适合求解约束型多目标优化问题的模糊粒子群算法(FPSO).模糊粒子群算法很好地解决了汽车零部件可靠性稳健优化设计的求解问题,仿真结果证明,该算法可行而有效,同时也拓展了粒子群算法的应用领域.

关 键 词:模糊粒子群算法  隶属度函数  多目标优化  可靠性稳健优化设计  基于模糊  多目标粒子群优化算法  应用  Application  Fuzziness  Based  Swarm  Particle  objective  Multi  Arithmetic  仿真结果  求解问题  稳健优化设计  汽车零部件  FPSO  粒子群算法  约束型  选取原则  评估
文章编号:1006-9348(2007)02-0153-04
修稿时间:2005-11-28

An Optimization Arithmetic for Multi - objective Particle Swarm Based on Fuzziness and Its Application
YU Fan-hua,YANG Wei,ZHANG Li-biao.An Optimization Arithmetic for Multi - objective Particle Swarm Based on Fuzziness and Its Application[J].Computer Simulation,2007,24(2):153-156.
Authors:YU Fan-hua  YANG Wei  ZHANG Li-biao
Affiliation:1. College of Information Technology, Changchun Normal University, Changchun Jilin 130032,China; 2. College of Computer Science and Technology,Jillin University, Changchun Jilin 130012,China
Abstract:Particle Swarm Optimization (PSO) is a new optimization technique originating from artificial life and evolutionary computation. PSO is applied to many fields for it is easily to be understood and performed. According to the evaluating principle of given optimal solution and the membership function of fuzzy theory, a new method named fuzzy particle swarm optimization (FPSO) is presented for solving MOP problem because the traditional PSO cannot solve the multi-objective optimization (MOP) problem. It is amenable to MOP problem with constraint model. FPSO can effectively cope with robust optimization design for reliability of automobile component. And it is proved to be effective and available by experiments. It also expands the application field of MOP arithmetic.
Keywords:Fuzzy particle swarm optimization  Membership function  Multi-objective optimization  Robust optimization design for reliability
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