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A Numerical Optimization Algorithm Based on Bacterial Reproduction

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Neural Information Processing (ICONIP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9489))

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Abstract

According to characteristics of rapid speed and large quantity in the process of bacterial reproduction, and natural selection, survival of the fittest in the process of evolution, the framework of bacterial reproduction optimization(BRO) algorithm is proposed from a macro perspective of bacteria reproduction. The process of bacteria reproduction is divided to four periods with lag period, logarithmic period, stable period and decline period. Likewise, the process of optimization algorithm proposed by this paper is segmented into four periods with initial period, iteration period, stable period and decline period. Based on the framework, strategies are introduced to design BRO more efficiently. Experimental results and theoretical analysis show that BRO has faster convergence speed and higher accuracy for high-dimensional problems.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No.61070008 and 70971043), the Science and Technology Foundation of Jiangxi Province(No.20151BAB217007), the Foundation of State Key Laboratory of Software Engineering(No.SKLSE2014-10-04) and Application research project of Nantong science and Technology Bureau(No.BK2014057).

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Authors and Affiliations

  1. State Key Lab of Software Engineering, Wuhan University, Wuhan, 430072, Hubei, China

    Peng Shao, Zhijian Wu, Xinyu Zhou & Zelin Wang

  2. Computer School, Wuhan University, Wuhan, 430072, Hubei, China

    Peng Shao, Xuanyu Zhou & Zelin Wang

  3. Vietnam Academy of Science and Technology, Hanoi, Vietnam

    Dang Cong Tran

  4. School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, 330022, China

    Xinyu Zhou

Authors
  1. Peng Shao
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  2. Zhijian Wu
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  3. Xuanyu Zhou
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  4. Xinyu Zhou
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  5. Zelin Wang
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  6. Dang Cong Tran
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Corresponding author

Correspondence to Zhijian Wu .

Editor information

Editors and Affiliations

  1. University of Istanbul, Istanbul, Turkey

    Sabri Arik

  2. University at Qatar, Doha, Qatar

    Tingwen Huang

  3. Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia

    Weng Kin Lai

  4. University of Science Technology, Wuhan, China

    Qingshan Liu

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© 2015 Springer International Publishing Switzerland

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Shao, P., Wu, Z., Zhou, X., Zhou, X., Wang, Z., Tran, D.C. (2015). A Numerical Optimization Algorithm Based on Bacterial Reproduction. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9489. Springer, Cham. https://doi.org/10.1007/978-3-319-26532-2_72

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  • DOI: https://doi.org/10.1007/978-3-319-26532-2_72

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26531-5

  • Online ISBN: 978-3-319-26532-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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