Title :
CBFO : The cooperative optimization of Bacterial Foraging
Author :
Hui, Cao ; Yang, Liu
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 :
optimisation; BFO algorithm; CBFO; E. coli bacteria; cooperative bacterial foraging optimization; cooperative optimization; hybrid space decomposition level; implicit space decomposition level; optimization algorithm; serial heterogeneous cooperation; social foraging behavior; Taxonomy; Bacterial; Cooperative Bacterial Foraging Optimization; Foraging; Optimization;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5620074