Vše

Co hledáte?

Vše
Projekty
Výsledky výzkumu
Subjekty

Rychlé hledání

  • Projekty podpořené TA ČR
  • Významné projekty
  • Projekty s nejvyšší státní podporou
  • Aktuálně běžící projekty

Chytré vyhledávání

  • Takto najdu konkrétní +slovo
  • Takto z výsledků -slovo zcela vynechám
  • “Takto můžu najít celou frázi”

A Scheduling-Based Approach to Multi-Agent Path Finding with Weighted and Capacitated Arcs

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F18%3A00323840" target="_blank" >RIV/68407700:21730/18:00323840 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://www.ifaamas.org/Proceedings/aamas2018/pdfs/p748.pdf" target="_blank" >http://www.ifaamas.org/Proceedings/aamas2018/pdfs/p748.pdf</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    A Scheduling-Based Approach to Multi-Agent Path Finding with Weighted and Capacitated Arcs

  • Popis výsledku v původním jazyce

    Multi-agent path finding (MAPF) deals with the problem of finding a collision-free path for a set of agents. The agents are located at nodes of a directed graph, they can move over the arcs, and each agent has its own destination node. It is not possible for two agents to be at the same node at the same time. The usual setting is that each arc has length one so at any time step, each agent either stays in the node, where it is, or moves to one of its neighboring nodes. This paper suggests to model the MAPF problem using scheduling techniques, namely, nodes and arcs are seen as resources. The concept of optional activities is used to model which nodes and arcs an agent will visit. We first describe a model, where each agent can visit each node at most once. Then, we extend the model to allow agents re-visiting the nodes. The major motivation for the scheduling model of MAPF is its capability to naturally include other constraints. We will study particularly the problems, where the capacity of arcs can be greater than one (more agents can use the same arc at the same time), and the lengths of arcs can be greater than one (moving between different pairs of nodes takes different times). These extensions make the model closer to reality than the original MAPF formulation. We compare the efficiency of models experimentally.

  • Název v anglickém jazyce

    A Scheduling-Based Approach to Multi-Agent Path Finding with Weighted and Capacitated Arcs

  • Popis výsledku anglicky

    Multi-agent path finding (MAPF) deals with the problem of finding a collision-free path for a set of agents. The agents are located at nodes of a directed graph, they can move over the arcs, and each agent has its own destination node. It is not possible for two agents to be at the same node at the same time. The usual setting is that each arc has length one so at any time step, each agent either stays in the node, where it is, or moves to one of its neighboring nodes. This paper suggests to model the MAPF problem using scheduling techniques, namely, nodes and arcs are seen as resources. The concept of optional activities is used to model which nodes and arcs an agent will visit. We first describe a model, where each agent can visit each node at most once. Then, we extend the model to allow agents re-visiting the nodes. The major motivation for the scheduling model of MAPF is its capability to naturally include other constraints. We will study particularly the problems, where the capacity of arcs can be greater than one (more agents can use the same arc at the same time), and the lengths of arcs can be greater than one (moving between different pairs of nodes takes different times). These extensions make the model closer to reality than the original MAPF formulation. We compare the efficiency of models experimentally.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2018

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    Proceedings of International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018)

  • ISBN

    978-1-4503-5649-7

  • ISSN

    1548-8403

  • e-ISSN

    2523-5699

  • Počet stran výsledku

    9

  • Strana od-do

    748-756

  • Název nakladatele

    IFAAMAS

  • Místo vydání

    County of Richland

  • Místo konání akce

    Stockholm

  • Datum konání akce

    10. 7. 2018

  • Typ akce podle státní příslušnosti

    WRD - Celosvětová akce

  • Kód UT WoS článku

    000468231300091