Research about Immune Ant Colony Optimization in Emergency Logistics Transportation Route Choice

Communications in Computer and Information Science(2012)

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摘要
Emergency logistics transportation route choice is the key problem to emergency logistics. Choosing routes scientifically and reasonably can save life and property timely and maximally to reach the maximum effect of emergency relief. This article builds up mathematical model which owns timeliness of emergency logistics to reach the goal that the delivery time is shortest, and solves this model by Immune Ant Colony Optimization (IACO). Computer simulation indicates that IACO has more effective timeliness to this model, and can find the path saves more time.
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关键词
Immune Ant Colony Optimization,path choice,emergency logistics
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