dp求解器:自动动态规划

IF 0.3 Q4 COMPUTER SCIENCE, THEORY & METHODS
Z. Kátai, Attila Elekes
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引用次数: 0

摘要

动态规划(DP)是一种应用广泛的优化方法,在各个科学领域都有广泛的应用。DP问题的求解过程可分为两个阶段:数学部分和规划部分。有许多研究人员的数学部分是可用的,但他们不熟悉计算机编程。在本文中,我们提出了一个软件工具,它可以自动化DP的编程部分,并允许用户仅根据他们的数学方法来解决问题。应用程序建立待解决问题的“d图模型”,并应用相应的单源最短路径算法的“d变体”。此外,我们报告了关于该工具相对于Matlab实现的效率的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DP-solver: automating dynamic programming
Abstract Dynamic programming (DP) is a widely used optimization method with several applications in various fields of science. The DP problem solving process can be divided in two phases: mathematical part and programming part. There are a number of researchers for whom the mathematical part is available, but they are not familiar with computer programming. In this paper we present a software tool that automates the programming part of DP and allows users to solve problems based only on their mathematical approach. The application builds up the “d-graph model” of the problem to be solved and applies the “d-variant” of the corresponding single source shortest path algorithm. In addition, we report experimental results regarding the e ciency of the tool relative to the Matlab implementation.
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来源期刊
Acta Universitatis Sapientiae Informatica
Acta Universitatis Sapientiae Informatica COMPUTER SCIENCE, THEORY & METHODS-
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