School of Computer Engineering, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China

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Abstract—Increasing interest has been devoted to Planning as Heuristic Search over the years. Intense research has focused on deriving accurate heuristics in polynomial computational time for domain-independent planning. This paper reports on an extensive survey and analysis of research work related to heuristic derivation techniques for state space search planning, as well as other planning paradigms. Survey results reveal that heuristic techniques have been extensively applied in many efficient planners and result in impressive performances. We extend the survey analysis to suggest promising avenues for future research in heuristic derivation and heuristic search techniques.

Index Terms—AI planning; domain-independent planning; heuristic search; heuristic derivation.

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Cite: Ruishi Liang, "A Survey of Heuristics for Domain-Independent Planning," Journal of Software vol. 7, no. 9, pp. 2099-2106, 2012.