计算机工程与应用2009，Vol.45Issue(31)：53-55,3.DOI:10.3778/j.issn.1002-8331.2009.31.017
基于boltzmann选择策略的人工蜂群算法
Artificial bee colony algorithm based on Boltzmann selection policy
丁海军 1冯庆娴1
作者信息
- 1. 河海大学(常州)计算机及信息工程学院,江苏,常州,213022
- 折叠
摘要
Abstract
Artificial Bee Colony (ABC) algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm.In this work,an improved ABC algorithm (BABC) is proposed based on the Boltzmann selection mechanism and used for optimizing multivariable functions.BABC algorithm makes the initial group symmetrical.Tb avoid premature, this method applies Boltzmann selection mechanism instead of roulette.The experimental results have shown that,the good performance of the algorithm such as avoiding local optima,quick convergence and fewer parameters.关键词
人工蜂群算法(ABC)/群集智能/进化计算/函数优化Key words
Artificial Bee Colony (ABC)/swarm intelligence evolutionary/ function optimization分类
信息技术与安全科学引用本文复制引用
丁海军,冯庆娴..基于boltzmann选择策略的人工蜂群算法[J].计算机工程与应用,2009,45(31):53-55,3.
