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Study of network evolution based on improved physarum model
journal contribution
posted on 2014-01-01, 00:00 authored by Zili ZhangZili Zhang, Y Liu, C Gao, Y Wu, T QianPhysarum polycephalum exhibits the features of self-organization and self-optimization in the process of foraging, and can form a high transport network. Although the traditional Physarum model can emulate Physarum networks through bubbles transportation, a bubble in this model often transports within local regions and the exploration efficiency is very low because of the single bubble's transportation. In order to overcome these shortcomings, a new evolution model, named as IBTM (Improved Bubble Transportation Model) was proposed. The new model added a time label for each grid in the environment in order to drive bubbles to explore new areas, and took advantage of multiple bubbles to improve the evolving efficiency. IBTM was used to reveal the emerged process of Physarum networks. Some experiments were used to analyze the influence of the number of bubbles and food sources on the evolving efficiency of IBTM. The simulation results validate the accuracy, the self-organization characteristics and the high efficiency of IBTM.
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Journal
Xitong fangzhen xuebao / Journal of system simulationVolume
26Issue
11Pagination
2648 - 2654Publisher
Tongfang Knowledge Network Technology Co.Location
Beijing, ChinaISSN
1004-731XLanguage
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2014, Tsinghua Tongfang Knowledge Network Technology Co.Usage metrics
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