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Boolean Satisfiability Approach to Optimal Multi-agent Path Finding under the Sum of Cost Objective

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10333012" target="_blank" >RIV/00216208:11320/16:10333012 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Boolean Satisfiability Approach to Optimal Multi-agent Path Finding under the Sum of Cost Objective

  • Original language description

    This paper focuses on finding optimal solutions to the multi-agent path finding (MAPF) problem over undirected graphs where the task is to find non-colliding paths for multiple agents, each with a different start and goal position. An encoding of MAPF to Boolean satisfiability (SAT) is already known to the makespan optimal variant of the problem.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • 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 2016 International Conference on Autonomous Agents &amp; Multiagent Systems

  • ISBN

    978-1-4503-4239-1

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

    1435-1436

  • Publisher name

    ACM

  • Place of publication

    Singapore

  • Event location

    Singapore

  • Event date

    May 9, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article