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Magnetic Bacterial Optimization Algorithm for Mobile Robot Path Planning

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Book cover Bio-inspired Computing – Theories and Applications (BIC-TA 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 682))

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Abstract

Autonomous navigation of robots is a promising research field due to its extensive applications. In recent years, more and more heuristic methods are applied in robot path planning. This paper proposes a new heuristic algorithm for path planning-magnetic bacterial optimization algorithm (MBOA). In the path planning algorithm based on MBOA, magnetosomes are mapped to the nodes in the path of robot. Simulation results show that the proposed algorithm is suitable for the problem of path planning and has better performance than some classical heuristic methods.

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References

  1. Rantanen, M.T., Juhola, M.: A configuration deactivation algorithm for boosting probabilistic road-map planning of robots. Int. J. Autom. Comput. 9(2), 155–164 (2012)

    Article  Google Scholar 

  2. Singh, N.N., Chatterjee, A., Chatterjee, A., Rakshit, A.: A two-layered subgoal based mobile robot navigation algorithm with vision system and IR sensors. Emerg. Res. Artif. Intell. Comput. Intell. Commun. Comput. Inf. Sci. 237, 325–334 (2011)

    Google Scholar 

  3. Mo, H.W.: Research on magnetotactic bacteria optimization algorithm. In: The Fifth International Conference on Advanced Computational Intelligence (ICACI 2012), Nanjing, pp. 423–427 (2012)

    Google Scholar 

  4. Mo, H.W., Xu, L.F.: Magnetotactic bacteria optimization algorithm for multimodal optimization. In: IEEE Symposium on Swarm Intelligence (SIS), Singapore, pp. 240–247 (2013)

    Google Scholar 

  5. Mo, H.W., Liu, L.L., Xu, L.F., Zhao, Y.Y.: Performance research on magnetotactic bacteria optimization algorithm based on the best individual. In: The sixth International Conference on Bio-inspired Computing(BICTA2014), Wuhan, China, pp. 318–322 (2014)

    Google Scholar 

  6. Mo, H.W., Geng, M.J.: Magnetotactic bacteria optimization algorithm based on best-rand scheme. In: 6th Nature and Biologically Inspired Computing, Porto Portugal, pp. 59–64 (2014)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Automation College, Harbin Engineering University, Harbin, 150001, China

    Hongwei Mo

  2. Engineering Training Center, Harbin Engineering University, Harbin, 150001, China

    Lifang Xu

  3. Department of Electrical and Computer Engineering, University of Detroit Mercy, Detroit, 48208-2576, USA

    Chaomin Luo

Authors
  1. Hongwei Mo
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  2. Lifang Xu
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  3. Chaomin Luo
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Corresponding author

Correspondence to Lifang Xu .

Editor information

Editors and Affiliations

  1. Xidian University , Xi’an, China

    Maoguo Gong

  2. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  3. China University of Petroleum, Qingdao, China

    Tao Song

  4. Southwest Jiaotong University , Chengdu, China

    Gexiang Zhang

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© 2016 Springer Nature Singapore Pte Ltd.

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Mo, H., Xu, L., Luo, C. (2016). Magnetic Bacterial Optimization Algorithm for Mobile Robot Path Planning. In: Gong, M., Pan, L., Song, T., Zhang, G. (eds) Bio-inspired Computing – Theories and Applications. BIC-TA 2016. Communications in Computer and Information Science, vol 682. Springer, Singapore. https://doi.org/10.1007/978-981-10-3614-9_41

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  • DOI: https://doi.org/10.1007/978-981-10-3614-9_41

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3613-2

  • Online ISBN: 978-981-10-3614-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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