Conflict-based search for optimal multi-agent path finding

Guni Sharon; Roni Stern; Ariel Felner; Nathan Sturtevant

Conflict-based search for optimal multi-agent path finding

Guni Sharon, Roni Stern, Ariel Felner, Nathan Sturtevant

Department of Software and Information Systems Engineering

Ben-Gurion University of the Negev

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

Abstract

We present a new two-level search algorithm for optimal multi-agent path finding called Conflict Based Search (CBS). At the high level, a search is performed on a tree based on conflicts between agents. At the low level, a search is performed only for a single agent at a time. Experimental results on various problems shows a speedup of up to a full order of magnitude over previous approaches.

Original language	American English
Title of host publication	Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012
Pages	190
Number of pages	1
State	Published - 1 Dec 2012
Event	5th International Symposium on Combinatorial Search, SoCS 2012 - Niagara Falls, ON, Canada Duration: 19 Jul 2012 → 21 Jul 2012

Publication series

Name	Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012

Conference

Conference	5th International Symposium on Combinatorial Search, SoCS 2012
Country/Territory	Canada
City	Niagara Falls, ON
Period	19/07/12 → 21/07/12

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Cite this

@inproceedings{11433bcc83464af4bb0869880b2c2860,

title = "Conflict-based search for optimal multi-agent path finding",

abstract = "We present a new two-level search algorithm for optimal multi-agent path finding called Conflict Based Search (CBS). At the high level, a search is performed on a tree based on conflicts between agents. At the low level, a search is performed only for a single agent at a time. Experimental results on various problems shows a speedup of up to a full order of magnitude over previous approaches.",

author = "Guni Sharon and Roni Stern and Ariel Felner and Nathan Sturtevant",

year = "2012",

month = dec,

day = "1",

language = "American English",

isbn = "9781577355847",

series = "Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012",

pages = "190",

booktitle = "Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012",

note = "5th International Symposium on Combinatorial Search, SoCS 2012 ; Conference date: 19-07-2012 Through 21-07-2012",

}

Sharon, G, Stern, R , Felner, A & Sturtevant, N 2012, Conflict-based search for optimal multi-agent path finding. in Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012. Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012, pp. 190, 5th International Symposium on Combinatorial Search, SoCS 2012, Niagara Falls, ON, Canada, 19/07/12.

Conflict-based search for optimal multi-agent path finding. / Sharon, Guni; Stern, Roni ; Felner, Ariel et al.
Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012. 2012. p. 190 (Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012).

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

TY - GEN

T1 - Conflict-based search for optimal multi-agent path finding

AU - Sharon, Guni

AU - Stern, Roni

AU - Felner, Ariel

AU - Sturtevant, Nathan

PY - 2012/12/1

Y1 - 2012/12/1

N2 - We present a new two-level search algorithm for optimal multi-agent path finding called Conflict Based Search (CBS). At the high level, a search is performed on a tree based on conflicts between agents. At the low level, a search is performed only for a single agent at a time. Experimental results on various problems shows a speedup of up to a full order of magnitude over previous approaches.

AB - We present a new two-level search algorithm for optimal multi-agent path finding called Conflict Based Search (CBS). At the high level, a search is performed on a tree based on conflicts between agents. At the low level, a search is performed only for a single agent at a time. Experimental results on various problems shows a speedup of up to a full order of magnitude over previous approaches.

UR - http://www.scopus.com/inward/record.url?scp=84893343362&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781577355847

T3 - Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012

SP - 190

BT - Proceedings of the 5th Annual Symposium on Combinatorial Search, SoCS 2012

T2 - 5th International Symposium on Combinatorial Search, SoCS 2012

Y2 - 19 July 2012 through 21 July 2012

ER -

Conflict-based search for optimal multi-agent path finding

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Other files and links

Cite this