שחף שפרברג

אקדמי בכיר

Enriching non-parametric bidirectional search algorithms

Shahaf S. Shperberg,Ariel Felner, Nathan R. Sturtevant, Solomon E. Shimony, Avi Hayoun

NBS is a non-parametric bidirectional search algorithm proven to expand at most twice the number of node expansions required to verify the optimality of a solution. We introduce new variants of NBS that are aimed at finding all optimal solutions. We then introduce an algorithmic framework that includes NBS as a special case. Finally, we introduce DVCBS, a new algorithm in this framework that aims to further reduce the number of expansions. Unlike NBS, DVCBS does not have any worst-case bound guarantees, but in practice it outperforms NBS in verifying the optimality of solutions.

שפת פרסום אנגלית
דפים 2379-2386
סטטוס פרסום פורסם - 01.01.2019

ASJC Scopus subject areas

Artificial Intelligence
גישה למסמך
10.1609/aaai.v33i01.33012379
קבצים וקישורים אחרים
Link to publication in Scopus