计算机工程与应用2017，Vol.53Issue(17)：53-59,7.DOI:10.3778/j.issn.1002-8331.1703-0517
基于反馈机制和丛林法则的人工蜂群算法
Artificial bee colony algorithm based on feedback and law of jungle
摘要
Abstract
Artificial bee colony algorithm is easy to fall into local optimum and to premature convergence. In order to solve these problems, an Artificial Bee Colony algorithm based on the Law of the jungle and Feedback(LFABC)is pro-posed in this paper. The algorithm introduces feedback mechanism, so the algorithm can directly search area where there is possibly an optimal solution, improve the development ability and convergence speed. In order to balance the devel-opment capacity and the exploration capacity in the different stages, LFABC introduces linear increasing differential strat-egy into the global search equation. In the nature, law of the jungle is the only criterion for survival. It simulates this natu-ral phenomena, LFABC algorithm randomly selects an individual to initialize, effectively prevent the algorithm into local optimum. Experimental results show that LFABC effectively improve the convergence precision and its convergence speed is outstanding.关键词
反馈机制/丛林法则/自适应/线性微分递增策略Key words
feedback mechanism/law of jungle/self-adaptive/linear increasing differential strategy分类
信息技术与安全科学引用本文复制引用
孔金生,李世通,周树亮,冯冬青,尹书文..基于反馈机制和丛林法则的人工蜂群算法[J].计算机工程与应用,2017,53(17):53-59,7.基金项目
国家自然科学基金(No.61473266) （No.61473266）
河南省重点科技攻关项目(No.152102210036). （No.152102210036）
