A physarum network evolution model based on IBTM

Yuxin Liu, Zili Zhang, Chao Gao, Yuheng Wu, Tao Qian

科研成果: 书/报告/会议事项章节会议稿件同行评审

15 引用 (Scopus)

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.

源语言英语
主期刊名Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings
出版商Springer Verlag
19-26
页数8
版本PART 2
ISBN(印刷版)9783642387142
DOI
出版状态已出版 - 2013
已对外发布
活动4th International Conference on Advances in Swarm Intelligence, ICSI 2013 - Harbin, 中国
期限: 12 6月 201215 6月 2012

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号PART 2
7929 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议4th International Conference on Advances in Swarm Intelligence, ICSI 2013
国家/地区中国
Harbin
时期12/06/1215/06/12

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