Physarum solver: A biologically inspired method of road-network navigation

Atsushi Tero, Ryo Kobayashi and Toshiyuki Nakagaki

Physica A: Statistical Mechanics and its Applications, 2006, vol. 363, issue 1, 115-119

Abstract: We have proposed a mathematical model for the adaptive dynamics of the transport network in an amoeba-like organism, the true slime mold Physarum polycephalum. The model is based on physiological observations of this species, but can also be used for path-finding in the complicated networks of mazes and road maps. In this paper, we describe the physiological basis and the formulation of the model, as well as the results of simulations of some complicated networks. The path-finding method used by Physarum is a good example of cellular computation.

Keywords: Amoeboid movement; Navigation algorithm; Physarum polycephalum; Path-finding (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:363:y:2006:i:1:p:115-119

DOI: 10.1016/j.physa.2006.01.053

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