אריאל פלנר

אקדמי בכיר

Modifying optimal SAT-based approach to multi-agent path-finding problem to suboptimal variants

Pavel Surynek, Ariel Felner,Roni Stern, Eli Boyarski

In multi-agent path finding (MAPF) the task is to find non-conflicting paths for multiple agents. Recently, a SAT-based approach was developed to solve this problem and proved beneficial in many cases when compared to other search-based solvers. In this paper, we introduce SAT-based unbounded- and bounded-suboptimal algorithms and compare them to relevant search-based algorithms.

שפת פרסום אנגלית
דפים 169-170
סטטוס פרסום פורסם - 01.01.2017

ASJC Scopus subject areas

Computer Networks and Communications
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Link to publication in Scopus