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Erschienen in:
2013 | OriginalPaper | Buchkapitel
A Physarum Network Evolution Model Based on IBTM
verfasst von : Yuxin Liu, Zili Zhang, Chao Gao, Yuheng Wu, Tao Qian
Erschienen in: Advances in Swarm Intelligence
Verlag: Springer Berlin Heidelberg
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The traditional Cellular Automation-based
Physarum
model reveals the process of amoebic self-organized movement and self-adaptive network formation based on bubble transportation. However, a bubble in the traditional
Physarum
model often transports within active zones and has little change to explore new areas. And the efficiency of evolution is very low because there is only one bubble in the system. This paper proposes an improved model, named as Improved Bubble Transportation Model (IBTM). Our model adds a time label for each grid of environment in order to drive bubbles to explore new areas, and deploys multiple bubbles in order to improve the evolving efficiency of
Physarum
network. We first evaluate the morphological characteristics of IBTM with the real
Physarum
, and then compare the evolving time between the traditional model and IBTM. The results show that IBTM can obtain higher efficiency and stability in the process of forming an adaptive network.