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A Review of Bacterial Foraging Optimization Part II : Applications and Challenges

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Advanced Intelligent Computing Theories and Applications (ICIC 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 93))

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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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Author information

Authors and Affiliations

  1. Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, 230031, China

    Ben Niu

  2. College of Management, Shenzhen University, Shenzhen, 518060, China

    Ben Niu, Yan Fan, Junjun Rao & Li Li

  3. Measurement Specialties Inc, Shenzhen, 518107, China

    Lijing Tan

Authors
  1. Ben Niu
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  2. Yan Fan
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  3. Lijing Tan
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  4. Junjun Rao
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  5. Li Li
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Editor information

Editors and Affiliations

  1. Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui,, China

    De-Shuang Huang

  2. School of Computing and Intelligent Systems, University of Ulster at Magee Campus, BT48 7JL, Derry, Northern Ireland, UK

    Martin McGinnity

  3. Laboratoire LITIS, Université de Rouen, 76800, Saint Etienne du Rouvray, France

    Laurent Heutte

  4. Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada

    Xiao-Ping Zhang

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© 2010 Springer-Verlag Berlin Heidelberg

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Niu, B., Fan, Y., Tan, L., Rao, J., Li, L. (2010). A Review of Bacterial Foraging Optimization Part II : Applications and Challenges. 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_71

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  • DOI: https://doi.org/10.1007/978-3-642-14831-6_71

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14830-9

  • Online ISBN: 978-3-642-14831-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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