שחף שפרברג

אקדמי בכיר

Front-to-End Bidirectional Heuristic Search with Consistent Heuristics

Enumerating and Evaluating Algorithms and Bounds

Lior Siag, Shahaf Shperberg,Ariel Felner, Nathan Sturtevant

Recent research on bidirectional heuristic search (BiHS) is based on the must-expand pairs theory (MEP theory), which describes which pairs of nodes must be expanded during the search to guarantee the optimality of solutions. A separate line of research in BiHS has proposed algorithms that use lower bounds that are derived from consistent heuristics during search. This paper links these two directions, providing a comprehensive unifying view and showing that both existing and novel algorithms can be derived from the MEP theory. An extended set of bounds is formulated, encompassing both previously discovered bounds and new ones. Finally, the bounds are empirically evaluated by their contribution to the efficiency of the search.

שפת פרסום אנגלית
דפים 5631-5638
סטטוס פרסום פורסם - 01.01.2023

ASJC Scopus subject areas

Artificial Intelligence
גישה למסמך
10.24963/ijcai.2023/625
קבצים וקישורים אחרים
Link to publication in Scopus