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Heuristic Search for Planning with Different Forced Goal-Ordering Constraints

机译:具有不同强制目标排序约束的启发式搜索规划

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摘要

Planning with forced goal-ordering (FGO) constraints has been proposed many times over the years, but there are still major difficulties in realizing these FGOs in plan generation. In certain planning domains, all the FGOs exist in the initial state. No matter which approach is adopted to achieve a subgoal, all the subgoals should be achieved in a given sequence from the initial state. Otherwise, the planning may arrive at a deadlock. For some other planning domains, there is no FGO in the initial state. However, FGO may occur during the planning process if certain subgoal is achieved by an inappropriate approach. This paper contributes to illustrate that it is the excludable constraints among the goal achievement operations (GAO) of different subgoals that introduce the FGOs into the planning problem, and planning with FGO is still a challenge for the heuristic search based planners. Then, a novel multistep forward search algorithm is proposed which can solve the planning problem with different FGOs efficiently.
机译:多年来,已经提出了许多强制目标排序(FGO)约束的计划,但是在计划生成中实现这些FGO仍然存在重大困难。在某些计划领域中,所有FGO都处于初始状态。无论采用哪种方法来实现子目标,都应从初始状态开始以给定的顺序实现所有子目标。否则,计划可能会陷入僵局。对于其他一些计划领域,初始状态下没有FGO。但是,如果某些子目标通过不适当的方法实现,则在计划过程中可能会发生FGO。本文有助于说明,正是不同子目标的目标实现操作(GAO)之间的排他性约束将FGO引入了规划问题,而FGO的规划仍然是基于启发式搜索的规划者的挑战。然后,提出了一种新颖的多步正向搜索算法,该算法可以有效地解决不同FGO的规划问题。

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