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Zhang, X.; Adamatzky, A.; Chan, F. T.; Deng, Y.; Yang, H.; Yang, X.-S.; Tsompanas, M.-A.; Sirakoulis, G.; Mahadevan, S. (2015)
Publisher: Nature Publishing Group
Journal: Scientific Reports
Languages: English
Types: Article
Subjects: Article
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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • ehT work is partially supported Chongqing Natural Science Foundation, Grant No. CSCT, 2010BA2003, National Natural Science Foundation of China, Grant Nos. 61174022 and 71271061, National High Technology Research and Development Program of China (863 Program) (No.2013AA013801), Science and Technology Planning Project of Guangdong Province, China (2010B010600034, 2012B091100192), Business Intelligence Key Team of Guangdong University of Foreign Studies (TD1202), Doctor Funding of Southwest University Grant No. SWU110021.
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