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基于模糊粒子群算法的非线性函数优化
引用本文:柳寅,马良,黄钰.基于模糊粒子群算法的非线性函数优化[J].上海理工大学学报,2012,34(4):314-317,322.
作者姓名:柳寅  马良  黄钰
作者单位:上海理工大学管理学院 200093
基金项目:国家自然科学基金资助项目,上海市重点学科建设资助项目,上海市研究生创新基金资助项目
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.

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

Nonlinear Function Optimization Based on Fuzzy Particle Swarm Algorithm
LIU Yin,MA Liang and HUANG Yu.Nonlinear Function Optimization Based on Fuzzy Particle Swarm Algorithm[J].Journal of University of Shanghai For Science and Technology,2012,34(4):314-317,322.
Authors:LIU Yin  MA Liang and HUANG Yu
Affiliation:(Business School,University of Shanghai for Science and Technology 200093)
Abstract: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.
Keywords:nonlinear function optimization  fuzzy rules  particle swarm algorithm  fuzzy particle swarm algorithm
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