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Solving transportation problems with warehouse locations based on greedy algorithm

机译:基于贪婪算法的仓库位置解决运输问题

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Greedy algorithm is a common-used method to solve many different types of problems. Researches were done a lot that use greedy algorithm to solve classical transportation problems. This paper discussed how to apply greedy algorithm in transportation problems with warehouses location. The main idea of the improved algorithm is adding average fixed costs to unit transport costs. Then we use this method to solve a realistic problem in a company called SportStuff.com, and we found that although greedy algorithm usually cannot give out the optimal solution, it could provide a satisfactory suboptimal solution simply and quickly. And when the scale of problem increases, its solution will become closer to the optimal one. However, it still has some other limitations in solving more realistic problems.
机译:贪婪算法是一种解决许多不同类型的问题的常用方法。研究已经完成了很多利用贪婪算法来解决经典的运输问题。本文讨论了如何在仓库位置应用贪婪算法。改进算法的主要思想是将平均固定成本增加到单位运输成本。然后我们使用这种方法来解决一个名为SportStuff.com的公司的现实问题,我们发现虽然贪婪算法通常不能提供最佳解决方案,但它可以简单快速地提供令人满意的次优处的解决方案。当问题的规模增加时,其解决方案将变得更接近最佳。但是,在解决更现实的问题方面仍然存在一些其他局限性。

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