A biologically inspired network design model
Article
Zhang, X., Adamatzky, A., Chan, F., Deng, Y., Yang, H., Yang, X., Tsompanas, M., Sirakoulis, G. and Mahadevan, S. 2015. A biologically inspired network design model. Scientific Reports. 5 (1). https://doi.org/10.1038/srep10794
Type | Article |
---|---|
Title | A biologically inspired network design model |
Authors | Zhang, X., Adamatzky, A., Chan, F., Deng, Y., Yang, H., Yang, X., Tsompanas, M., Sirakoulis, G. and Mahadevan, S. |
Abstract | A network design problem is to select a subset of links in a transport network that satisfy passengers or cargo transportation demands while minimizing the overall costs of the transportation. We propose a mathematical model of the foraging behaviour of slime mould P. polycephalum to solve the network design problem and construct optimal transport networks. In our algorithm, a traffic flow between any two cities is estimated using a gravity model. The flow is imitated by the model of the slime mould. The algorithm model converges to a steady state, which represents a solution of the problem. We validate our approach on examples of major transport networks in Mexico and China. By comparing networks developed in our approach with the man-made highways, networks developed by the slime mould, and a cellular automata model inspired by slime mould, we demonstrate the flexibility and efficiency of our approach. |
Keywords | optimization network model metaheuristic algorithm |
Publisher | Nature Publishing Group |
Journal | Scientific Reports |
ISSN | |
Electronic | 2045-2322 |
Publication dates | |
Online | 04 Jun 2015 |
04 Jun 2015 | |
Publication process dates | |
Deposited | 18 Jun 2015 |
Accepted | 28 Apr 2015 |
Submitted | 23 Oct 2014 |
Output status | Published |
Publisher's version | License File Access Level Open |
Copyright Statement | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
Additional information | Article number = 10794 |
Digital Object Identifier (DOI) | https://doi.org/10.1038/srep10794 |
Web of Science identifier | WOS:000360298100001 |
Language | English |
https://repository.mdx.ac.uk/item/859yz
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