计算机应用与软件Issue(4)：161-164,4.DOI:10.3969/j.issn.1000-386x.2014.04.040
一种采用蜂群全局引导搜索策略的入侵杂草优化改进算法
AN IMPROVED INVASIVE WEED OPTIMISATION ALGORITHM USING BEE COLONY GLOBAL GUIDE SEARCH STRATEGY
摘要
Abstract
Aiming at the problems of invasive weed optimisation (IWO)algorithm which is slow in convergence rate and easy to fall into local optimum,we propose an improved IWO algorithm.First,we initialise the population with reverse learning initialisation method to improveits global convergence rate;Secondly,we use global guide search stagey of the improved bee colony algorithm to conduct optimal guide search of the bred seeds in order to enhance their capability of jumping out the local optima.Finally,we carry out simulation verificationson 5 benchmark functions with different dimensions.Test results show that the improved algorithm proposed has faster convergence rate and stronger capability in jumping out local optimum in the aspect of function optimisation than the GABC and standard IWO algorithm.关键词
入侵杂草优化/人工蜂群/反向学习/初始化/函数优化Key words
Invasive weed optimisation(IWO)/Artificial bee colony/Reverse learning/Initialisation/Function optimisation分类
信息技术与安全科学引用本文复制引用
杨建卫..一种采用蜂群全局引导搜索策略的入侵杂草优化改进算法[J].计算机应用与软件,2014,(4):161-164,4.基金项目
国家自然科学基金项目（61379030）；陕西省教育厅项目（2013JK1198）；宝鸡文理学院第九批院级教改项目（JG 11050）；宝鸡文理学院院级重点项目（ZK11050）。 （）
