DYNAMIC SCHEDULING STUDY ON UNDERGROUND TRACKLESS ENGINEERING MACHINERY OF CLUSTERS USING MUTI-AGENT TECHNOLOGY WITH IMPROVED ANT ALGORITHM
Underground trackless engineering machinery has the characteristics of distribution, negotiatory working and independent operating. The paper proposes an intelligent scheduling system model with composite structure based on multi-agent technology with the purpose of optimizing clusters scheduling and improving machinery efficiency. In this paper, a new strategy of dynamic scheduling was used to transfer task dynamically and use improved ant algorithm to choose the best precept for ore transportation. The superiority of the proposed method in solving the scheduling problem is demonstrated with simulations finally.
Multi-agent system Ant algorithm Machinery of cluster scheduling
TANG Yi XIONG Jing-qi LI Hai-qing ZHOU Bo
School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan,610054, China
国际会议
北京
英文
1520-1527
2008-10-27（万方平台首次上网日期，不代表论文的发表时间）