DocumentCode :
2483755
Title :
A Novel Bacterial Foraging Optimizer with Linear Decreasing Chemotaxis Step
Author :
Niu, Ben ; Fan, Yan ; Zhao, Pei ; Xue, Bing ; Li, Li ; Chai, Yujuan
Author_Institution :
Dept. of Manage. Sci., Shenzhen Univ., Shenzhen, China
fYear :
2010
fDate :
22-23 May 2010
Firstpage :
1
Lastpage :
4
Abstract :
Bacterial foraging optimization (BFO) is a relatively new bio-heuristic algorithm which is based on a metaphor of social interaction of E. coli bacteria. Although the algorithm has successfully been applied to many kinds of real word optimization problems, experimentation with complex problems reports that the basic BFO algorithm possesses a poor performance. Thus a novel bacterial foraging optimizer with linear decreasing chemotaxis step (BFO-LDC) algorithm is proposed in the present paper. The performance of the proposed BFO-LDC is amply demonstrated by applying it for four classical test functions and comparing it with basic BFO. And the results obtained show this proposed algorithm greatly improves the efficiency of basic BFO algorithm.
Keywords :
heuristic programming; microorganisms; optimisation; BFO-LDC algorithm; E. coli bacteria social interaction; bacterial foraging optimizer; bio-heuristic algorithm; linear decreasing chemotaxis step; Benchmark testing; Chemical technology; Control systems; Educational institutions; Heuristic algorithms; Microorganisms; Optimal control; Radiofrequency identification; Technology management; Three-term control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
Type :
conf
DOI :
10.1109/IWISA.2010.5473527
Filename :
5473527
Link To Document :
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