计算机工程与应用2012，Vol.48Issue(27)：53-57,5.DOI:10.3778/j.issn.1002-8331.2012.27.012
学习猴群爬过程的人工蜂群优化算法
Artificial Bee Colony optimization algorithm studying climb process of Monkey Algorithm
摘要
Abstract
An improved Artificial Bee Colony (ABC) algorithm is proposed to overcome the flaw of standard ABC by introducing the climb process of Monkey Algorithm to update food source in order to enhance the local search ability at the stage of employ bees. Simulation results show that the proposed algorithm has better performance than ABC and the other kinds of improved algorithms put forward literally. It can jump out of local optima in a certain extent and get approximate solutions which are much closer to the theoretical solutions of the test functions.关键词
人工蜂群算法/猴群算法/爬过程/局部搜索Key words
Artificial Bee Colony algorithm (ABC)/ Monkey Algorithm/ climb process/ local search分类
信息技术与安全科学引用本文复制引用
贾瑞民,何登旭,石绍堂..学习猴群爬过程的人工蜂群优化算法[J].计算机工程与应用,2012,48(27):53-57,5.基金项目
广西自然科学基金(No.桂科自0728054) （No.桂科自0728054）
广西重点实验室开放基金项目(No.HCIC201105) （No.HCIC201105）
广西民族大学重大科研项目(No.2010ZD008). （No.2010ZD008）
