Conceptual Comparison of Compilation-based Solvers for Multi-Agent Path Finding: MIP vs. SAT
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F21%3A00355520" target="_blank" >RIV/68407700:21240/21:00355520 - isvavai.cz</a>
Result on the web
<a href="https://ojs.aaai.org/index.php/SOCS/article/view/18584" target="_blank" >https://ojs.aaai.org/index.php/SOCS/article/view/18584</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Conceptual Comparison of Compilation-based Solvers for Multi-Agent Path Finding: MIP vs. SAT
Original language description
The task in multi-agent path finding (MAPF) is to find paths through which agents can navigate from their starting posi- tions to given individual goal positions. The combination of two additional requirements makes the problem challenging: (i) agents must not collide with each other and (ii) the paths must be optimal with respect to some objective. We summa- rize and compare main ideas of contemporary compilation- based solvers for MAPF using MIP and SAT formalisms.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
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)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Symposium on Combinatorial Search
ISBN
9781713834557
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
203-205
Publisher name
Association for the Advancement of Artificial Intelligence (AAAI)
Place of publication
Palo Alto, California
Event location
Virtual conference
Event date
Jul 26, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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