BibTeX_10

Fecha de publicación: Feb 01, 2012 12:32:3 AM

@INPROCEEDINGS{MunozCEC2010,

author={{Mu\~{n}oz}, M.A. and Halgamuge, S.K. and Alfonso, W. and Caicedo, E.F.},

booktitle={IEEE Congress on Evolutionary Computation (CEC)},

title={Simplifying the Bacteria Foraging Optimization Algorithm},

year={2010},

month={july},

volume={},

number={},

pages={1--7},

abstract={The Bacterial Foraging Optimization Algorithm is a swarm intelligence technique which models the individual and group foraging policies of the E. Coli bacteria as a distributed optimization process. The algorithm is structurally complex due to its nested loop architecture and includes several parameters whose selection deeply influences the result. This paper presents some modifications to the original algorithm that simplifies the algorithm structure, and the inclusion of best member information into the search strategy, which improves the performance. The results on several benchmarks show reasonable performance in most tests and a considerable improvement in some complex functions. Also, with the use of the T-Test we were able to confirm that the performance enhancement is statistically significant.},

keywords={E. Coli bacteria; bacteria foraging optimization algorithm; best member information; distributed optimization process; group foraging policy; nested loop architecture; swarm intelligence technique; artificial intelligence; microorganisms; particle swarm optimisation;},

doi={10.1109/CEC.2010.5586025},

ISSN={},

}