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中文摘要：
应急物流车辆调配是一个非常重要而实际的研究课题,调配的首要条件是满足时间要求下的总费用最低。建立了满足应急时间约束下系统总费用最小的数学模型,采用一种新的基于模式搜索的变尺度混沌粒子群算法对其进行优化。算例通过与遗传算法和标准粒子群优化算法相比较,得出该算法具有更好的寻优速度和寻优效率,从而证明了提出的方法的可行性和有效性。
英文摘要：
Emergency logistics vehicle distribution is a very important and practical research problem, the first condition is the lowest fees to meet the time requirements. This paper established the mathematic mode which minimized total cost with the emergency time constraint, and proposed a new particle swarm optimization with pattern search and mutative scale chaos to solve the problem. Examples indicate that the algorithm has more search speed and stronger optimization ability than GA and the PSO,, so it proves that the proposed method is feasible and effective.
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