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Dynamic Path Optimization of Emergency Transport Based on Hierarchical Genetic Algorithm

机译:基于层次遗传算法的应急运输动态路径优化

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An efficient search algorithm, which have to take into account the time and cost on emergency transport, the hierarchical Genetic Algorithm was proposed. Local optimization is achieved by Bottom GA in Subnet, global optimization is achieved by top GA in the whole network. The Contradiction of Global search capability and search efficiency is solved by maintaining a balance between GA Random search and this method is narrow search. The results of calculation show that this method can satisfy the demands of practical engineering of dynamic path selection in a wide range and quick fix of failure path on Emergency transport.
机译:提出了一种兼顾紧急运输时间和费用的高效搜索算法,提出了分层遗传算法。局部优化是通过子网中的底层GA实现的,全局优化是通过整个网络中的顶层GA实现的。全局搜索能力与搜索效率之间的矛盾是通过在GA随机搜索之间保持平衡来解决的,该方法是窄搜索。计算结果表明,该方法可以满足实际工程中大范围动态路径选择和快速修复故障路径的需求。

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