A Study on Bacterial Colony Chemotaxis Algorithm and Simulation Based on Differential Strategy

摘要：

Bacterial Colony Chemotaxis (BCC) algorithm is a new colony Intelligence Optimization Algorithm.In this paper through a mass of experiments on the standard test function,the impact of the algorithm parameters on the performance of algorithm is demonstrated,then the parameter control strategy are given,which laid the foundation for further study of the algorithm.To further enhance success rate of BCC algorithm on multi-modal function,two improvements are presented,one is adjusting the sense limit (SL) self-adaptive,and the other is introducing differential evolutionary strategy into algorithm.The numerical experiments results using Matlab show that the performances of the improved BCC algorithm have been enhanced both in success rate and convergence precision.Finally the algorithm is applied to the optimal planning of substation locating,and achieves the satisfactory results.

关键词： bacterial colony chemotaxis algorithm parameters control dynamic sense limit differential strategy.

作者: Zhi-qiang Wang Li-xin Zhang Yong-feng Fan

作者单位: Department of Electrical and Electronic Engineering,North China Electric Power University,Beijing,102206,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）