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Heuristic Search for Planning with Different Forced Goal-Ordering Constraints

机译:启发式搜索规划不同强制目标排序约束

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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:多年来已经提出了强迫目标排序(FGO)限制的规划,但在计划生成中实现这些FGOS仍然存在重大困难。在某些规划域中,所有FGO都存在于初始状态。无论采用哪种方法才能实现亚地纳,所有亚地士都应从初始状态的给定序列中实现。否则,计划可能会达到僵局。对于其他一些规划领域,初始状态下没有FGO。但是,如果某些亚脚板通过不恰当的方法实现了在规划过程中可能发生FPO。本文有助于说明它是将FGOS介绍进入规划问题的不同子地位的目标成就运营(GAO)中的排除约束,并规划FGO基于启发式搜索的规划人员仍然是一个挑战。然后,提出了一种新颖的多步骤前进搜索算法,其可以有效地解决不同的FGOS的规划问题。

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