Adaptive Bacterial Foraging Optimization Algorithm with Social Foraging Strategy for Multi-modal optimization problem

摘要：

　　In 2002,K.M.Passino proposed Bacterial Foraging Optimization Algorithm (BFOA) for distributed optimization and control.Biologic foraging strategies are diverse.Based on social and intelligent foraging theory,this paper proposed an adaptive bacterial foraging optimization algorithm,and introduced six foraging operators: chaos run operator,assimilation run operator,tumble operator,swimming operator,reproduction operator and elimination-dispersal operator.Among those operators,chaos run operator,assimilation run operator and reproduction operator were redefined in accordance with social foraging strategy.And others were same with the original algorithm.Experiments were conducted on 6 multimodal unconstrained benchmark optimization problems for demonstration the effectiveness and stability.The results demonstrate remarkable performance of the proposed algorithm on all chosen benchmark functions when compared to several successful optimization techniques.

关键词： Bacterial Foraging Optimization Algorithm Social Foraging Multimodal Numerical Optimization

作者: Hai shen Yunlong Zhu

作者单位: College of Physics Science and Technology,Shenyang Normal University,Shenyang, Liaoning Province, Ch Laboratory of Information Service and Intelligent Control, Shenyang Institute of Automation,Shenyang

会议类型: 国际会议

会议名称: Evolve International Conference-2014(2014年演变算法国际会议)

会议地点: 北京

会议语种:英文

页码: 1-15

在线出版日期: 2014-07-01（万方平台首次上网日期，不代表论文的发表时间）