计算机应用研究2013，Vol.30Issue(1)：86-89,4.DOI:10.3969/j.issn.1001-3695.2013.01.020
基于轮盘赌反向选择机制的蜂群优化算法
Artificial bee colony based on reverse selection of roulette
摘要
Abstract
Towards the defect which inclined artificial bee colony (ABC) to fall into local minima, and taking into account of greedy selection scheme was always employed during the basic artificial bee colony, which resulted in rapid evolving toward the more fitter individual,and thus trapped the ABC into stagnation. Thus, this paper proposed a modified artificial bee colony (MABC) based on reverse selection of roulette which retaining the diversity of population in order to improve the evolving capability. Experiments result on a few of benchmark functions show that the MABC algorithm not only effectively avoids the premature convergence, but also significantly improves the convergence speed and the convergence precision. Moreover, the MABC algorithm is robust to the scale of population.关键词
人工蜂群算法/轮盘赌选择/反向选择/鲁棒性Key words
artificial bee colony (ABC) algorithm/ roulette selection/ reverse selection/ robustness分类
信息技术与安全科学引用本文复制引用
向万里,马寿峰..基于轮盘赌反向选择机制的蜂群优化算法[J].计算机应用研究,2013,30(1):86-89,4.基金项目
国家自然科学基金资助项目(70971094) （70971094）
天津市科技支撑计划基金资助重点项目(08ZCKFSF01000) （08ZCKFSF01000）
高等学校博士学科点专项科研基金资助项目(20090032110033) （20090032110033）
