A Case Study on the Importance of Low-Level Algorithmic Details in Domain-Independent Heuristics

Authors

  • Ryo Kuroiwa The University of Tokyo
  • Alex Fukunaga The University of Tokyo

DOI:

https://doi.org/10.1609/socs.v10i1.18480

Abstract

It is known that seemingly small details such as tie-breaking among nodes with the same f-cost can significantly affect the performance of a best-first search algorithm on many domains (Asai and Fukunaga 2017). In this paper, we show that low-level algorithmic details of domain-independent planning heuristics can have a surprisingly large impact on search performance. As a case study, we consider the well-known FF heuristic (hff ) (Hoffmann and Nebel 2001).

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Published

2021-09-01