Suboptimal variants of the conflict-based search algorithm for the multi-agent pathfinding problem

Max Barer; Guni Sharon; Roni Stern; Ariel Felner

doi:10.3233/978-1-61499-419-0-961

Suboptimal variants of the conflict-based search algorithm for the multi-agent pathfinding problem

Max Barer, Guni Sharon, Roni Stern, Ariel Felner

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

56 Scopus citations

Original language	English
Title of host publication	ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings
Editors	Torsten Schaub, Gerhard Friedrich, Barry O'Sullivan
Publisher	IOS Press BV
Pages	961-962
Number of pages	2
ISBN (Electronic)	9781614994183
DOIs	https://doi.org/10.3233/978-1-61499-419-0-961
State	Published - 1 Jan 2014
Event	21st European Conference on Artificial Intelligence, ECAI 2014 - Prague, Czech Republic Duration: 18 Aug 2014 → 22 Aug 2014

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	263
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Conference

Conference	21st European Conference on Artificial Intelligence, ECAI 2014
Country/Territory	Czech Republic
City	Prague
Period	18/08/14 → 22/08/14

ASJC Scopus subject areas

Artificial Intelligence

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10.3233/978-1-61499-419-0-961

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Barer, M., Sharon, G., Stern, R., & Felner, A. (2014). Suboptimal variants of the conflict-based search algorithm for the multi-agent pathfinding problem. In T. Schaub, G. Friedrich, & B. O'Sullivan (Eds.), ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings (pp. 961-962). (Frontiers in Artificial Intelligence and Applications; Vol. 263). IOS Press BV. https://doi.org/10.3233/978-1-61499-419-0-961

Barer, Max ; Sharon, Guni ; Stern, Roni et al. / Suboptimal variants of the conflict-based search algorithm for the multi-agent pathfinding problem. ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings. editor / Torsten Schaub ; Gerhard Friedrich ; Barry O'Sullivan. IOS Press BV, 2014. pp. 961-962 (Frontiers in Artificial Intelligence and Applications).

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title = "Suboptimal variants of the conflict-based search algorithm for the multi-agent pathfinding problem",

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Barer, M, Sharon, G, Stern, R & Felner, A 2014, Suboptimal variants of the conflict-based search algorithm for the multi-agent pathfinding problem. in T Schaub, G Friedrich & B O'Sullivan (eds), ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings. Frontiers in Artificial Intelligence and Applications, vol. 263, IOS Press BV, pp. 961-962, 21st European Conference on Artificial Intelligence, ECAI 2014, Prague, Czech Republic, 18/08/14. https://doi.org/10.3233/978-1-61499-419-0-961

Suboptimal variants of the conflict-based search algorithm for the multi-agent pathfinding problem. / Barer, Max; Sharon, Guni; Stern, Roni et al.
ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings. ed. / Torsten Schaub; Gerhard Friedrich; Barry O'Sullivan. IOS Press BV, 2014. p. 961-962 (Frontiers in Artificial Intelligence and Applications; Vol. 263).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Barer M, Sharon G, Stern R , Felner A. Suboptimal variants of the conflict-based search algorithm for the multi-agent pathfinding problem. In Schaub T, Friedrich G, O'Sullivan B, editors, ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings. IOS Press BV. 2014. p. 961-962. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/978-1-61499-419-0-961

Suboptimal variants of the conflict-based search algorithm for the multi-agent pathfinding problem

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