Title :
The Optimization of Cooperative Bacterial Foraging
Author :
Shao, Yichuan ; Chen, HanNing
Author_Institution :
Coll. of Inf. Sci. & Eng., Shenyang Univ., Shenyang, China
Abstract :
Bacterial foraging optimization (BFO) is a novel optimization algorithm based on the social foraging behavior of E. coli bacteria. This paper presents a variation on the original BFO algorithm, namely the cooperative bacterial foraging optimization (CBFO), which significantly improve the original BFO in solving complex optimization problems. This significant improvement is achieved by applying two cooperative approaches to the original BFO, namely the serial heterogeneous cooperation on the implicit space decomposition level and the serial heterogeneous cooperation on the hybrid space decomposition level.
Keywords :
biocomputing; genetic algorithms; particle swarm optimisation; E. coli bacteria; cooperative bacterial foraging optimization; hybrid space decomposition level; implicit space decomposition level; serial heterogeneous cooperation; social foraging behavior; Automation; Computational modeling; Computer applications; Information science; Machine learning algorithms; Microorganisms; Optimal control; Propagation losses; Software engineering; Space exploration; Bacterial Foraging Optimization; Cooperative Bacterial Foraging Optimization;
Conference_Titel :
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3570-8
DOI :
10.1109/WCSE.2009.195