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Proceedings Paper

Dynamic scheduling study on engineering machinery of clusters using multi-agent system ant algorithm
Author(s): Qiang Gao; Hongli Wang; Long Guo; Jianping Xiang
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Paper Abstract

In the process of road surface construction, dispatchers' scheduling was experiential and blindfold in some degree and static scheduling restricted the continuity of the construction. Serious problems such as labor holdup, material awaiting and scheduling delay could occur when the old scheduling technique was used. This paper presents ant colony algorithm based on MAS that has the abilities of intelligentized modeling and dynamic scheduling. MAS model deals with single agent's communication and corresponding in engineering machinery of clusters firstly, next we apply ant colony algorithm to solve dynamic scheduling in the plant. Ant colony algorithm can optimize the match of agents and make the system dynamic balance. The effectiveness of the proposed method is demonstrated with MATLAB simulations.

Paper Details

Date Published: 2 May 2006
PDF: 6 pages
Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60421U (2 May 2006); doi: 10.1117/12.664632
Show Author Affiliations
Qiang Gao, Tianjin Univ. (China)
Hongli Wang, Tianjin Univ. (China)
Long Guo, Tianjin Univ. (China)
Jianping Xiang, Tianjin Univ. (China)

Published in SPIE Proceedings Vol. 6042:
ICMIT 2005: Control Systems and Robotics
Yunlong Wei; Kil To Chong; Takayuki Takahashi; Shengping Liu; Zushu Li; Zhongwei Jiang; Jin Young Choi, Editor(s)

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