Research of emergency logistics distribution routing optimization based on simulated annealing ant colony optimization

AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence(2012)

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摘要
With the analysis about the factor influencing emergency logistics distribution path optimization, this article builds up the mathematical model based on which aims to take the shortest distribution time special traffic situation, and uses ant colony algorithm based on simulated annealing to solve the model, obtaining a optimization algorithm about emergency logistics. The research about emergency logistics distribution path optimization in critical situation has important theoretical significance and practical value.
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关键词
critical situation,shortest distribution time,optimization algorithm,important theoretical significance,ant colony algorithm,mathematical model,emergency logistics,practical value,special traffic situation,emergency logistics distribution path,simulated annealing ant colony,simulated annealing
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