哈尔滨工程大学学报2012，Vol.33Issue(1)：117-123,7.DOI:10.3969/j.issn.1007-7043.201102020
改进人工蜂群算法
A modified artificial bee colony algorithm and its application
毕晓君 1王艳娇1
作者信息
- 1. 哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001
- 折叠
摘要
Abstract
Considering the shortcomings of the artificial bee colony algorithm due to slow convergence and ease of falling into the local optimum, the pheromone and the sensitivity model in a free search algorithm was used to re-place the traditional roulette wheel selection model. Furthermore, OBL was introduced in this paper to present an improved artificial bee colony algorithm, replacing the worst bee colony with a new one generated in each iterative procedure. Then a new method for multi-modal function optimization based on this algorithm was designed. The simulation results of nine standard test functions show that in the case of less running time the new algorithm greatly improves the accuracy of the optimal solution, and it is much better than the existing artificial bee colony algo-rithms. The simulation of five test functions shows that this method can accurately search the various peaks.关键词
人工蜂群算法/多峰函数优化/自由搜索算法/OBL策略/函数优化Key words
artificial bee colony algorithm/ multi-modal function optimization/ free search algorithm/ OBL/ function optimization分类
信息技术与安全科学引用本文复制引用
毕晓君,王艳娇..改进人工蜂群算法[J].哈尔滨工程大学学报,2012,33(1):117-123,7.
