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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:LIU Bai-long,ZhangRuBo,ShiChangTing.A new model of foraging behavior in ant system[J].Journal of Harbin Institute Of Technology(New Series),2009,16(6):821-826.DOI:10.11916/j.issn.1005-9113.2009.06.015.
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A new model of foraging behavior in ant system
Author NameAffiliation
LIU Bai-long College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China 
ZhangRuBo College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China 
ShiChangTing College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China 
Abstract:
Foraging behavior in ant colonies has come to be viewed as a prototypical example to describe how complex group behavior can arise from simple individuals. In order to research the feature of self-organization in swarm intelligence (SI), a mean field model is given and analyzed in foraging process with three sources in this paper. The distance of trails and the richness of each source are considered. Both of the theoretical numerical analysis and Monte Carlo simulation show the power law relationship between the completion time and the flux of foragers. The work presented here guides a better understanding on self-organization and swarm intelligence. It can be used to design more efficient, adaptive, and reliable intelligent systems.
Key words:  swarm intelligence  self-organization  foraging  mean field model  Monte Carlo simulation
DOI：10.11916/j.issn.1005-9113.2009.06.015
Clc Number:TP18
Fund:

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