Title :
A novel cooperative bacterial foraging algorithm
Author :
Shao, Yichuan ; Chen, HanNing
Author_Institution :
Coll. of Inf. Sci. & Eng., Shenyang Univ., Shenyang, China
Abstract :
A variant on the original bacterial foraging optimization (BFO) algorithm, called the cooperative bacterial foraging optimization (CBFO), is proposed in this paper. The results of various experimental studies using a suit of 4 widely used test functions have demonstrated the superiority of the proposed CBFO approach over the other three search techniques.
Keywords :
optimisation; search problems; cooperative bacterial foraging optimization; cooperative search technique; Automation; Convergence; Educational institutions; Information science; Machine learning; Machine learning algorithms; Microorganisms; Optimal control; Propagation losses; Testing;
Conference_Titel :
Bio-Inspired Computing, 2009. BIC-TA '09. Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3866-2
Electronic_ISBN :
978-1-4244-3867-9
DOI :
10.1109/BICTA.2009.5338157
