Candidate Path Selection Heuristics for Multi-Agent Path Finding: A Novel Compilation-Based Method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F23%3A00371968" target="_blank" >RIV/68407700:21240/23:00371968 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.5220/0011693900003393" target="_blank" >https://doi.org/10.5220/0011693900003393</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0011693900003393" target="_blank" >10.5220/0011693900003393</a>
Alternative languages
Result language
angličtina
Original language name
Candidate Path Selection Heuristics for Multi-Agent Path Finding: A Novel Compilation-Based Method
Original language description
Multi-Agent path finding (MAPF) is a task of finding non-conflicting paths connecting agents’ specified initial and goal positions in a shared environment. We focus on compilation-based solvers in which the MAPF problem is expressed in a different well established formalism such as mixed-integer linear programming (MILP), Boolean satisfiability (SAT), or constraint programming (CP). As the target solvers for these formalisms act as black-boxes it is challenging to integrate MAPF specific heuristics in the MAPF compilation-based solvers. We show in this work how the build a MAPF encoding for the target SAT solver in which domain specific heuristic knowledge is reflected.
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/GA22-31346S" target="_blank" >GA22-31346S: logicMOVE: Logic Reasoning in Motion Planning for Multiple Robotic Agents</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
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 15th International Conference on Agents and Artificial Intelligence
ISBN
978-989-758-623-1
ISSN
2184-3589
e-ISSN
2184-433X
Number of pages
8
Pages from-to
517-524
Publisher name
SCITEPRESS – Science and Technology Publications, Lda
Place of publication
Lisboa
Event location
Lisbon
Event date
Feb 22, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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