Paired-bacteria optimiser - A simple and fast algorithm

Authors:
M. S. Li;W. J. Tang;Q. H. Wu;J. R. Saunders
Affiliations:
Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool, L69 3GJ, UK;Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool, L69 3GJ, UK;Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool, L69 3GJ, UK;School of Biological Sciences, The University of Liverpool, Liverpool, L69 3GJ, UK
Venue:
Information Processing Letters
Year:
2011

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Abstract

Most of Evolutionary Algorithms (EAs) do not fully explore the potential of searching ability and are time consuming. This paper presents a fast bacteria-inspired optimisation algorithm: Paired-Bacteria Optimiser (PBO), which incorporates the underlying mechanisms of bacterial chemotaxis and quorum sensing, and has only two bacteria in a population. The experimental results show that PBO has not only a promising performance of searching for accurate solutions, but also a fast convergence rate, which are evaluated using benchmark functions.