车辆调度的遗传规划

Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97) Pub Date : 1997-04-13 DOI:10.1109/ICEC.1997.592371

I. Benyahia, J. Potvin

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引用次数: 3

摘要

车辆调度的目的是将实时服务请求分配给移动中的车队。该任务被建模为一个多属性选择问题。也就是说，不同的属性值与每辆车相关联，以描述其相对于当前服务请求的情况。基于此属性描述，计算近似于专业调度员决策过程的效用函数。这个效用函数通过遗传编程进化。计算结果报告了从快递服务公司收集的请求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Genetic programming for vehicle dispatching

Vehicle dispatching is aimed at allocating real time service requests to a fleet of vehicles in movement. This task is modeled as a multiattribute choice problem. Namely, different attribute values are associated with each vehicle to describe its situation with respect to the current service request. Based on this attribute description, a utility function that approximates the decision process of a professional dispatcher is computed. This utility function evolves through genetic programming. Computational results are reported on requests collected from a courier service company.

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Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97)

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