Zobrazit v EDS

Distributed task allocation with critical tasks and limited capacity.

Uloženo v:
Podrobná bibliografie
Název: Distributed task allocation with critical tasks and limited capacity.
Autoři: Zhang, An, Yang, Mi, Bi, Wenhao, Gao, Fei
Zdroj: Robotica; Nov2021, Vol. 39 Issue 11, p2008-2032, 25p
Témata: PROBLEM solving, DRONE aircraft, TASKS, ALGORITHMS
Abstrakt: This paper considers the task allocation problem under the requirement that the assignments of some critical tasks must be maximized when the network capacity cannot accommodate all tasks due to the limited capacity for each unmanned aerial vehicle (UAV). To solve this problem, this paper proposes an extended performance impact algorithm with critical tasks (EPIAC) based on the traditional performance impact algorithm. A novel task list resizing phase is developed in EPIAC to deal with the constraint on the limited capacity of each UAV and maximize the assignments of critical tasks. Numerical simulations demonstrate the outstanding performance of EPIAC compared with other algorithms. [ABSTRACT FROM AUTHOR]
Copyright of Robotica is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Databáze: Complementary Index
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://resolver.ebscohost.com/openurl?sid=EBSCO:edb&genre=article&issn=02635747&ISBN=&volume=39&issue=11&date=20211101&spage=2008&pages=2008-2032&title=Robotica&atitle=Distributed%20task%20allocation%20with%20critical%20tasks%20and%20limited%20capacity.&aulast=Zhang%2C%20An&id=DOI:10.1017/S0263574721000102
    Name: Full Text Finder
    Category: fullText
    Text: Full Text Finder
    Icon: https://imageserver.ebscohost.com/branding/images/FTF.gif
    MouseOverText: Full Text Finder
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Zhang%20A
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edb
DbLabel: Complementary Index
An: 153564298
RelevancyScore: 916
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 915.654846191406
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Distributed task allocation with critical tasks and limited capacity.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+An%22">Zhang, An</searchLink><br /><searchLink fieldCode="AR" term="%22Yang%2C+Mi%22">Yang, Mi</searchLink><br /><searchLink fieldCode="AR" term="%22Bi%2C+Wenhao%22">Bi, Wenhao</searchLink><br /><searchLink fieldCode="AR" term="%22Gao%2C+Fei%22">Gao, Fei</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Robotica; Nov2021, Vol. 39 Issue 11, p2008-2032, 25p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22PROBLEM+solving%22">PROBLEM solving</searchLink><br /><searchLink fieldCode="DE" term="%22DRONE+aircraft%22">DRONE aircraft</searchLink><br /><searchLink fieldCode="DE" term="%22TASKS%22">TASKS</searchLink><br /><searchLink fieldCode="DE" term="%22ALGORITHMS%22">ALGORITHMS</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper considers the task allocation problem under the requirement that the assignments of some critical tasks must be maximized when the network capacity cannot accommodate all tasks due to the limited capacity for each unmanned aerial vehicle (UAV). To solve this problem, this paper proposes an extended performance impact algorithm with critical tasks (EPIAC) based on the traditional performance impact algorithm. A novel task list resizing phase is developed in EPIAC to deal with the constraint on the limited capacity of each UAV and maximize the assignments of critical tasks. Numerical simulations demonstrate the outstanding performance of EPIAC compared with other algorithms. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Robotica is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=153564298
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1017/S0263574721000102
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 2008
    Subjects:
      – SubjectFull: PROBLEM solving
        Type: general
      – SubjectFull: DRONE aircraft
        Type: general
      – SubjectFull: TASKS
        Type: general
      – SubjectFull: ALGORITHMS
        Type: general
    Titles:
      – TitleFull: Distributed task allocation with critical tasks and limited capacity.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhang, An
      – PersonEntity:
          Name:
            NameFull: Yang, Mi
      – PersonEntity:
          Name:
            NameFull: Bi, Wenhao
      – PersonEntity:
          Name:
            NameFull: Gao, Fei
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 02635747
          Numbering:
            – Type: volume
              Value: 39
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Robotica
              Type: main
ResultId 1