Abstract
Bacterial foraging optimization (BFO) is a relatively new swarm intelligent algorithm inspired by the foraging behavior of Escherichia coli (E.coli) in human intestines. With formative research over the last decade, BFO has displayed good performance in many application domains. However, some researches, especially the recent advances, are not as widely known as they deserve to be. This paper proposes a comprehensive and timely review of the algorithm. Part I involves the original implementation and development of BFO, including the current research on parameter improvement and hybridization. Part II involves a range of indicative application areas, as well as the existing challenges of BFO are concerned in the paper for this new added approach of optimization technology.
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Niu, B., Fan, Y., Tan, L., Rao, J., Li, L. (2010). A Review of Bacterial Foraging Optimization Part I: Background and Development. In: Huang, DS., McGinnity, M., Heutte, L., Zhang, XP. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Communications in Computer and Information Science, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14831-6_70
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DOI: https://doi.org/10.1007/978-3-642-14831-6_70
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