基于模糊粒子群算法的非线性函数优化  

Nonlinear Function Optimization Based on Fuzzy Particle Swarm Algorithm

作　　者：柳寅[1] 马良[1] 黄钰[1] 

机构地区：[1]上海理工大学管理学院,200093

出　　处：《上海理工大学学报》2012年第4期314-317,322,共5页Journal of University of Shanghai For Science and Technology

基　　金：国家自然科学基金资助项目(70871081);上海市重点学科建设资助项目(S30504);上海市研究生创新基金资助项目(JWCXSL1201)

摘　　要：针对非线性函数优化问题,提出一种新型的模糊粒子群算法.该算法基于模糊控制器中输入输出的模糊化处理和粒子群寻优的特点.算法在Matlab 2008环境下编程实现,针对几个典型复杂的非线性函数进行优化测试.实现结果表明:模糊粒子群算法是一种简单有效的算法,具有良好的有效性和鲁棒性.For the nonlinear function optimization problem,a fuzzy particle swarm algorithm was proposed based on the fuzzy rules and the characteristics of particle swarm algorithm. The proposed algorithm was programmed in Matlab 2008, and verified through a series of typical nonlinear function optimization problems. The computational results show that the proposed algorithm is a simple and useful algorithm with effectiveness and robustness

关 键 词：非线性函数优化 模糊规则 粒子群算法 模糊粒子群算法 

分 类 号：N94[自然科学总论—系统科学] TP301.6[自动化与计算机技术—计算机系统结构]