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Path Planning with Slime Molds: A Biology-Inspired Approach

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Neural Information Processing (ICONIP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9492))

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Abstract

This paper proposes an Artificial Plasmodium Algorithm (APA) mimicked a contraction wave of a plasmodium of physarum polucephalum. Plasmodia can live using the contracion wave in their body to communicate to others and transport a nutriments. In the APA, each plasmodium has two information as the wave information: the direction and food index. We apply the APA to 4 types of mazes and confirm that the APA can solve the mazes.

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References

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Acknowledgments

This work was supported by KAKENHI 24700226.

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Authors and Affiliations

  1. Kagawa University, 2217-20 Hayashi-cho, Takamatsu, Kagawa, 761-0396, Japan

    Masafumi Uemura & Haruna Matsushita

  2. Bonn-Rhein-Sieg University, Grantham-Allee 20, 53757, Sankt Augustin, Germany

    Gerhard K. Kraetzschmar

Authors
  1. Masafumi Uemura
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  2. Haruna Matsushita
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  3. Gerhard K. Kraetzschmar
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Corresponding author

Correspondence to Masafumi Uemura .

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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Uemura, M., Matsushita, H., Kraetzschmar, G.K. (2015). Path Planning with Slime Molds: A Biology-Inspired Approach. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9492. Springer, Cham. https://doi.org/10.1007/978-3-319-26561-2_37

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  • DOI: https://doi.org/10.1007/978-3-319-26561-2_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26560-5

  • Online ISBN: 978-3-319-26561-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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