A new model to imitate the foraging behavior of Physarum polycephalum on a nutrient-poor substrate

Wu, Yuheng, Zhang, Zili, Deng, Yong, Zhou, Huan and Qian, Tao 2015, A new model to imitate the foraging behavior of Physarum polycephalum on a nutrient-poor substrate, Neurocomputing, vol. 148, pp. 63-69, doi: 10.1016/j.neucom.2012.10.044.

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Title A new model to imitate the foraging behavior of Physarum polycephalum on a nutrient-poor substrate
Author(s) Wu, Yuheng
Zhang, ZiliORCID iD for Zhang, Zili orcid.org/0000-0002-8721-9333
Deng, Yong
Zhou, Huan
Qian, Tao
Journal name Neurocomputing
Volume number 148
Start page 63
End page 69
Total pages 7
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2015
ISSN 0925-2312
Keyword(s) Euclidean plane
Foraging behavior
Physarum polycephalum
Spanning tree
Science & Technology
Computer Science, Artificial Intelligence
Computer Science
Summary Researches on Physarum polycephalum show that methods inspired by the primitive unicellular organism can construct an efficient network and solve some complex problems in graph theory. Current models simulating the intelligent behavior of Physarum are mainly based on Hagen-Poiseuille Law and Kirchhoff Law, reaction-diffusion, Cellular Automaton and multi-agent approach. In this paper, based on an assumption that the plasmodium of Physarum forages for food along the gradient of chemo-attractants on a nutrient-poor substrate, a new model is proposed to imitate its intelligent foraging behavior. The key point of the model is that the growth of Physarum is determined by the simple particle concentration field relating the distance to food source and the shape of food source on a nutrient-poor substrate. To verify this model, numerical experiments are conducted according to Adamatzky[U+05F3]s experiment. Results in spanning tree construction by this model are almost the same as those of Physarum and Oregonator model. The proposed model can also imitate Physarum to avoid repellents. Furthermore, the Euclidean Spanning tree built by this model is similar to its corresponding Minimal Euclidean Spanning tree.
Language eng
DOI 10.1016/j.neucom.2012.10.044
Field of Research 080110 Simulation and Modelling
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30071814

Document type: Journal Article
Collection: School of Information Technology
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