领域无关动态规划(学生摘要)

Ryo Kuroiwa
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引用次数: 0

摘要

在我的论文中,我将提出领域独立动态规划(DIDP),这是一种基于动态规划(DP)的组合优化(CO)的新型基于模型的范式。在DIDP中,问题首先被表述为声明性DP模型,然后由通用求解器求解。我的论文的目标是开发一种独立于算法的建模形式来定义DP模型和通用求解器,并证明DIDP在实践中对CO很有希望。特别是,我将提出一种基于状态转换系统和启发式搜索求解器的建模形式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Domain-Independent Dynamic Programming (Student Abstract)
In my dissertation, I will propose Domain-Independent Dynamic Programming (DIDP), a novel model-based paradigm for combinatorial optimization (CO) based on dynamic programming (DP). In DIDP, a problem is first formulated as a declarative DP model and then solved by a general-purpose solver. The goal of my dissertation is to develop an algorithm-independent modeling formalism to define a DP model and general-purpose solvers for it and demonstrate that DIDP is promising for CO in practice. In particular, I will propose a modeling formalism based on a state transition system and heuristic search solvers for it.
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