细菌趋药性算法理论及应用研究进展

被引:7
作者
曹黎侠 [1 ]
张建科 [2 ]
机构
[1] 西安工业学院数理系
[2] 西安电子科技大学理学院
关键词
细菌趋药性; 智能优化; 随机优化方法;
D O I
暂无
中图分类号
Q811 [仿生学];
学科分类号
1111 ;
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。
引用
收藏
页码:44 / 46
页数:3
相关论文
共 9 条
[1]  
Chem otaxis in Escherichia Coli Analyzed By Three-dim ensional Tracking. H C Berg,D A Brown. Nature . 2002
[2]  
Function Optim ization M ethod Based on bacterial Colony Chem otaxis. Li W ei-W u,W ang H ui,Zou Zhi-Jun et al. Journal of Circuits and System s . 2005
[3]  
The Involnem ent of Cell-Cell Signals In The Developm ent Of A Bacterial Biofilm. D G Daries,M R Parsek,J P Pearson et al. Science . 1998
[4]  
Biology of the Chem otactic Reponse. J M Lackie,P C W ilkinson. . 1990
[5]  
NO Free Lunch Theorem s For Opti-m izationx. W olpert D C,M acready M G. IEEE Tans on Evolutionary Com putation . 1997
[6]  
Biology of the Chem otaxis Response Forty-sixth Sym posium of the Society for General M icrobiology Joint-ly Organized with the Briritish Society for Cell Biology. J Arm itage,J M Lackie et al. . 1990
[7]  
BacterialChem otaxis as a M odelBehavioralSystem. D E Koshland Jr. . 1980
[8]  
Optim ization Based on Bacterial Chem otaxis. Sibyue D M iiller,Jarno M archette,Stefane Airaghi et al. IEEE Transactions Evolutionary Com putation . 2002
[9]  
Chem otaxis and optim ization. H J Brem erm ann. Journal of the Franklin Institute Engineering and Applied Mathematics . 1974