A Physarum Network Evolution Model Based on IBTM

摘要：

　　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.

关键词： Physarum Polycephalum Physarum Model IBTM Net work Evolution

作者: Yuxin Liu Zili Zhang Chao Gao Yuheng Wu Tao Qian

作者单位: School of Computer and Information Science Southwest University, Chongqing 400715, China School of Computer and Information Science Southwest University, Chongqing 400715, China;School of I

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 19-26

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）