一种改进的粒子群算法与遗传算法的比较  

An Improved Particle Swarm Optimization Algorithm and Genetic Algorithm

作　　者：刘国栋[1] 张志锋[1] 

机构地区：[1]北方自动控制技术研究所,太原030006

出　　处：《火力与指挥控制》2010年第S1期150-151,154,共3页Fire Control & Command Control

摘　　要：在求解非线性规划问题,进化算法已经逐渐呈现出其优越性,对粒子群算法进行了改进,同时还介绍了遗传算法,并通过测试函数对比分析了改进后粒子群算法和遗传算法的寻优性能。Be solving not the line programming problem,evolve the calculate way has already presented its superiority gradually,this text to grain the sons calculate way carried on an improvement,still introducing heredity calculate way in the meantime,and analyzed an improvement through the test function contrast the sons calculate way and the heredity calculate way to look for excellent function after the grain.

关 键 词：粒子群算法 遗传算法 比较 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]