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Path Planning with Slime Molds: A Biology-Inspired Approach

  • Masafumi Uemura
  • Haruna Matsushita
  • Gerhard K. Kraetzschmar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9492)

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.

Keywords

Particle Swarm Optimization Short Path Food Source Optimal Route Exit Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was supported by KAKENHI 24700226.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Masafumi Uemura
    • 1
  • Haruna Matsushita
    • 1
  • Gerhard K. Kraetzschmar
    • 2
  1. 1.Kagawa UniversityTakamatsuJapan
  2. 2.Bonn-Rhein-Sieg UniversitySankt AugustinGermany

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