正反向组合方法在动态规划中的有效性

Banteng Widyantoro, Arini, H. Sukmana, Iik Muhamad Malik Matin, D. Khairani
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引用次数: 3

摘要

确定具有有效结果的最短路径对于实现到达目的地的最短距离和最短时间至关重要。问题是最短路径算法可以提供一个解决方案。在最短路径算法中,动态规划算法是解决这一问题的最优算法之一。以前的一些研究仅使用正向或向后模型来提供解决方案。将前向模型与后向模型相结合,可以应用于具有搜索运动准则的问题。在本文中,我们提出了一种组合的前向向后DP模型,并将其与前向和后向模型进行了比较,以寻找停车位和衡量时间效率。向前-向后组合模型提供了最有效的解决方案,并且节省了时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Effectiveness of Forward-Backward Combination Method in Dynamic Programming
Determining the shortest path with efficient results is important to achieve the minimum distance and time to arrive at the destination. The problem is that the shortest path algorithm can provide a solution. Among the shortest paths, dynamic programming (DP) is one of the algorithms that can provide the best solution for this problem. Several previous studies only used forward or backward models to provide solutions. Combining forward and backward models can be applied to problems that have search motion criteria. In this paper, we propose a combination of the forward-backward DP model and compare it with the forward and backward models to find parking spaces and measure time efficiency. The forward-backward combination model provides the most effective solution with efficient time consumption.
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