A Parallel Multi-Agent Simulation Planning Approach to Complex Logistics System with Genetic Optimization

A Parallel Multi-Agent Simulation Planning Approach to Complex Logistics System with Genetic Optimization
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DOI：
10.1109/wicom.2007.1187
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发表时间：
2007-10
期刊：
2007 International Conference on Wireless Communications, Networking and Mobile Computing
影响因子：
--
通讯作者：
Honglei Li;Fuquan Sun
Honglei Li;Fuquan Sun
中科院分区：
其他
文献类型：
--
作者：
Honglei Li;Fuquan Sun

文献摘要

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The importance and significance of planning of logistics system is analyzed. The logistics system operational diagram is depicted in general perspective. The mufti-agent system model is introduced and applied to design the planning model of logistics system. The parallel simulation technology is used to improve the efficiency. The genetic optimization is adopted to produce the better planning result in automatic mode, which overcomes the manual evaluation fault of system simulation. The software for the planning approach is developed with the support of swarm simulation package. An application case is demonstrated in the fast part.