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A new coding method for genetic algorithm in vehicle routing problem

机译:车辆路径问题的遗传算法编码新方法

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摘要

Genetic algorithm is widely used to solve optimization problems for its characteristic, especially vehicle routing problem. By using this algorithm to solve the vehicle scheduling problem, determine the solution coding method is a very crucial basic work, because it will directly influence the algorithm to realize and the inferiority of algorithm performance. This paper presents a new coding method — the client direct arrangement and grouping randomized. Firstly, produce customer arrangement without repeating, and than put it into small groups randomly which is serviced by a vehicle separately. It represents a solution or a route. In the final, it is proved that the genetic algorithm with new coding has good performance through experiment.
机译:遗传算法因其特性而被广泛用于解决优化问题,尤其是车辆路径问题。通过使用该算法解决车辆调度问题,确定求解编码方法是一项非常关键的基础工作,因为它将直接影响算法的实现和算法性能的劣势。本文提出了一种新的编码方法-客户直接安排和分组随机化。首先,不重复地制定客户安排,然后将其随机分成小组,分别由车辆提供服务。它代表解决方案或路线。最后通过实验证明了采用新编码的遗传算法具有良好的性能。

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