基于域相关启发式的机场地面交通管制改进

Augusto B. Corrêa, A. Pereira, M. Ritt
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引用次数: 1

摘要

本文研究了领域相关启发式算法在机场地面交通管制中的应用。我们考虑这个问题的两个变体。第一种方案是为2004年国际规划竞赛提出的,进出港飞机有固定的停机位和起飞位置。在第二种更现实的变体中,控制器可以动态地为每架飞机分配起飞跑道或停放位置,从而使飞机在机场的总运动最小化。我们对第二种变体特别感兴趣,它有一个隐式定义的目标状态,其中多个状态可以满足目标条件,以及这个事实对领域独立和领域依赖启发式的影响。在此基础上,我们将快速向下规划中的域独立启发式方法与域相关启发式方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Airport Ground Traffic Control with Domain-Dependent Heuristics
In this paper we study the application of a domain-dependent heuristic to airport ground traffic control. We consider two variants of the problem. In the first, proposed for the International Planning Competition in 2004, the in-bound and out-bound airplanes have fixed parking and take-off positions. In the second, more realistic variant a controller can assign dynamically for each airplane the runway for take-off or the parking position, such that the total movement of planes at the airport is minimized. We are particularly interested in the second variant, which has an implicitly defined goal state where multiple states could satisfy the goal condition, and the impact of this fact on domain-independent and domain-dependent heuristics. We compare domain-independent heuristics in the Fast Downward planner on this domain to a domain-dependent heuristic.
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