计算机应用研究2016，Vol.33Issue(4)：1028-1033,6.DOI:10.3969/j.issn.1001-3695.2016.04.014
异维学习人工蜂群算法
Artificial bee colony algorithm with different dimensional learning
摘要
Abstract
In order to overcome standard artificial bee colony algorithm poor at exploitation and easily getting into local mini-ma,this paper proposed an improved artificial bee colony algorithm.Firstly,it utilized a global optimum guided strategy whose level of guidance adaptively decreasing with the number of trials for employed bees to achieve a tradeoff between exploration and exploitation.Secondly,it used a mutated strategy with different dimensional learning for onlookers,so the search of algo-rithm with jumping coul improve the probability of escaping from the local minima.Through the experiment on 8 benchmark functions and 8 CEC2013 composition functions,the results show that the new algorithm performs significantly better than several recently proposed similar algorithms in terms of the convergence speed and the solution accuracy.关键词
人工蜂群算法/自适应/异维学习/全局探索/局部开发Key words
artificial bee colony algorithm/adaptively/different dimensional learning/exploration/exploitation分类
信息技术与安全科学引用本文复制引用
李冰,孙辉,赵嘉,王晖,吴润秀..异维学习人工蜂群算法[J].计算机应用研究,2016,33(4):1028-1033,6.基金项目
国家自然科学基金资助项目（61261039）；江西省教育厅落地计划资助项目（KJLD13096）；江西省研究生创新专项资金资助项目 （）
