Physarum Polycephalum is a slime mold that apparently is able to solve shortest path problems. A mathematical model has been proposed by biologists to describe the feedback mechanism used by the slime mold to adapt its tubular channels while foraging two food sources s0 and s1. We prove that, under this model, the mass of the mold will eventually converge to the shortest s0-s1 path of the network that the mold lies on, independently of the structure of the network or of the initial mass distribution. This matches the experimental observations by the biologists and can be seen as an example of a "natural algorithm", that is, an algorithm developed by evolution over millions of years. Copyright © SIAM.

Bonifaci, V., Mehlhorn, K., Varma, G. (2012). Physarum can compute shortest paths. In Proc. of the 23rd Annual ACM-SIAM Symposium on Discrete Algorithms (pp.233-240). Association for Computing Machinery [10.1137/1.9781611973099.21].

Physarum can compute shortest paths

Bonifaci V.;
2012

Abstract

Physarum Polycephalum is a slime mold that apparently is able to solve shortest path problems. A mathematical model has been proposed by biologists to describe the feedback mechanism used by the slime mold to adapt its tubular channels while foraging two food sources s0 and s1. We prove that, under this model, the mass of the mold will eventually converge to the shortest s0-s1 path of the network that the mold lies on, independently of the structure of the network or of the initial mass distribution. This matches the experimental observations by the biologists and can be seen as an example of a "natural algorithm", that is, an algorithm developed by evolution over millions of years. Copyright © SIAM.
978-1-61197-210-8
Bonifaci, V., Mehlhorn, K., Varma, G. (2012). Physarum can compute shortest paths. In Proc. of the 23rd Annual ACM-SIAM Symposium on Discrete Algorithms (pp.233-240). Association for Computing Machinery [10.1137/1.9781611973099.21].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/381318
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