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Magnetotactic Bacteria Optimization Algorithm Based on Moment Interaction Energy

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Advances in Swarm Intelligence (ICSI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10385))

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Abstract

In this paper, an improved magnetotactic bacteria optimization algorithm (IMBOA) is proposed to solve unconstrained optimization problems. IMBOA uses an archive to keep some better solutions in order to guide the moving of the whole population in each generation. And it uses a kind of efficient interaction energy to enhance diversity of the population for encouraging broader exploration. The proposed algorithm is compared with some relative optimization algorithms on the CEC 2013 real-parameter optimization benchmark functions. Experimental results show that the proposed algorithm IMBOA has better performance than the compared algorithms on most of the benchmark problems.

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Acknowledgements

This work is partially supported by the National Natural Science Foundation of China under Grant No. 61075113, the Excellent Youth Foundation of Heilongjiang Province of China under Grant No. JC201212.

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Authors and Affiliations

  1. Engineering Training Center, Harbin Engineering University, Harbin, Heilongjiang, 150001, China

    Lifang Xu

  2. Automation College, Harbin Engineering University, Harbin, Heilongjiang, 150001, China

    Hongwei Mo & Jiao Zhao

  3. Department of Electrical and Computer Engineering, University of Detroit Mercy, Detroit, MI, USA

    Chaomin Luo

  4. College of Information Engineering, Shanghai Maritime University, Pudong, China

    Zhenzhong Chu

Authors
  1. Lifang Xu
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  2. Hongwei Mo
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  3. Jiao Zhao
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  4. Chaomin Luo
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  5. Zhenzhong Chu
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Corresponding author

Correspondence to Hongwei Mo .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Kyushu University, Fukuoka, Japan

    Hideyuki Takagi

  3. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

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Xu, L., Mo, H., Zhao, J., Luo, C., Chu, Z. (2017). Magnetotactic Bacteria Optimization Algorithm Based on Moment Interaction Energy. In: Tan, Y., Takagi, H., Shi, Y. (eds) Advances in Swarm Intelligence. ICSI 2017. Lecture Notes in Computer Science(), vol 10385. Springer, Cham. https://doi.org/10.1007/978-3-319-61824-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-61824-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61823-4

  • Online ISBN: 978-3-319-61824-1

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