Dynamic scheduling study on engineering machinery of clusters using multi-agent system ant algorithm

Qiang Gao; Hongli Wang; Long Guo; Jianping Xiang

doi:10.1117/12.664632

2 May 2006 Dynamic scheduling study on engineering machinery of clusters using multi-agent system ant algorithm

Qiang Gao, Hongli Wang, Long Guo, Jianping Xiang

Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 60421U (2006) https://doi.org/10.1117/12.664632
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China

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.

Citation Download Citation

Qiang Gao, Hongli Wang, Long Guo, and Jianping Xiang "Dynamic scheduling study on engineering machinery of clusters using multi-agent system ant algorithm", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60421U (2 May 2006); https://doi.org/10.1117/12.664632

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