山东理工大学学报（自然科学版）2016，Vol.30Issue(5)：74-78,5.
基于二项式交叉改进的人工蜂群算法
Improved artificial bee colony algorithm based on binomial crossover
程宪宝1
作者信息
- 1. 广州工商学院 计算机科学与工程系，广东 广州 510850
- 折叠
摘要
Abstract
In order to overcome the artificial bee colony algorithm is easily premature convergence, search speed becomes slow near global optimal and bothers to develop,we proposed a kind of arti-ficial bee colony algorithm based on improved binomial crossover.The improved algorithm intro-duced the global optimal value,and compared the optimal values of the neighborhood search with the global optimal values by binomial crossover,to speed up the convergence of the algorithm, and improve the development of the algorithm.The experimental results of 7 benchmark functions show that improved artificial colony algorithm has better convergence speed and convergence pre-cision,improves the global optimization ability of the original algorithm effectively,compared with the original algorithm.It does not increase the complexity of the algorithm,and it is an ef-fective optimization algorithm.关键词
人工蜂群算法/优化/二项式交叉/基准函数Key words
artificial bee colony algorithm (ABC)/optimization/binomial crossover/bechmark function分类
信息技术与安全科学引用本文复制引用
程宪宝..基于二项式交叉改进的人工蜂群算法[J].山东理工大学学报（自然科学版）,2016,30(5):74-78,5.
