The Jeep Problem: A Flexible MIP Formulation

U. Gotzes, C. Gotzes
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Abstract

This article deals with the Jeep Problem (also known as Desert Crossing Problem), which reads as follows: An unlimited supply of fuel is available at one edge of a desert, but there is no source on the desert itself. A vehicle can carry enough fuel to go a certain distance, and it can built up its own refuelling stations. What is the minimum amount of fuel the vehicle will require in order to cross the desert? Under these mild conditions this question is answered since the 1940s. But what is the answer if the caches are restricted to certain areas or if the fuel consumption does not depend linearly on the distance travelled? To answer these and similar questions we develop and solve a flexible mixed-integer programming (MIP) model for the classical problem and enhance it with new further aspects of practical relevance.
吉普问题:一个灵活的MIP公式
这篇文章处理吉普车问题(也被称为沙漠穿越问题),内容如下:在沙漠的一个边缘有无限的燃料供应,但在沙漠本身没有来源。一辆汽车可以携带足够的燃料行驶一定的距离,并且它可以建立自己的加油站。为了穿越沙漠,车辆最少需要多少燃料?自20世纪40年代以来,在这些温和的条件下,这个问题得到了回答。但是,如果储藏库被限制在特定区域,或者燃料消耗与行驶距离没有线性关系,那么答案是什么呢?为了回答这些问题和类似的问题,我们开发并解决了经典问题的灵活混合整数规划(MIP)模型,并进一步增强了它与实际相关的新方面。
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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