Mutex Propagation for SAT-based Multi-agent Path Finding

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00348038" target="_blank" >RIV/68407700:21240/20:00348038 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1007/978-3-030-69322-0_16" target="_blank" >https://doi.org/10.1007/978-3-030-69322-0_16</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-69322-0_16" target="_blank" >10.1007/978-3-030-69322-0_16</a>

Result language

angličtina

Original language name

Mutex Propagation for SAT-based Multi-agent Path Finding

Original language description

Multi-agent path finding (MAPF) is the problem of planning a set of non-colliding paths for a set of agents so that each agent reaches its individual goal location following its path. A mutex from classical planning is a constraint forbidding a pair of facts to be both true or a pair of actions to be executed simultaneously. In the context of MAPF, mutexes are used to rule out the simultaneous occurrence of a pair of agents in a pair of locations, which can prune the search space. Previously mutex propagation had been integrated into conflictbased search (CBS), a major search-based approach for solving MAPF optimally. In this paper, we introduce mutex propagation into the compilation-based (SATbased) solver MDD-SAT, an alternative to search-based solvers. Our experiments show that, despite mutex propagation being computationally expensive, it prunes the search space significantly so that the overall performance of MDD-SAT is improved.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA19-17966S" target="_blank" >GA19-17966S: intALG-MAPFg: Intelligent Algorithms for Generalized Variants of Multi-Agent Path Finding</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Principles and Practice of Multi-Agent Systems - 23rd International Conference, Proceedings

ISBN

978-3-030-69321-3

ISSN

0302-9743

e-ISSN

—

Number of pages

11

Pages from-to

248-258

Publisher name

Springer-Verlag

Place of publication

Berlin

Event location

Nagoya

Event date

Nov 18, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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