摘要
细菌趋药性算法是优化领域一种新的仿生进化算法。该算法利用细菌在引诱剂环境下的应激反应动作来进行函数优化。针对细菌趋药性算法,首先介绍了其基本原理;然后讨论了近年来对该方法的若干改进;最后详述了细菌趋药性算法未来的研究方向和主要研究内容,该方法是具有实际研究价值的函数优化算法。
Bacterial chemotaxis optimization is a novel category of bionic algorithm for optimization problems.The algorithm takes advantage of the bacterium＇s reaction to chemoattractants to find the optimum.To the algorithm,firstly,the basic principle of bacterial chemotaxis optimization is introduced.Then,a series of schemes on improving the algorithm are discussed.Finally,some remarks on the further research and directions are presented.This algorithm is a kind of potentially powerful optimization method worth of much more research.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第1期44-46,共3页
Computer Engineering and Applications
关键词
细菌趋药性
智能优化
随机优化方法
bacterial chemotaxis,intelligent optimization,stochastic optimization methods
