• DocumentCode
    130848
  • Title

    Research on multi-task allocation algorithm based on Agent

  • Author

    Yang Ping ; Wang Tong ; Liu Weidong ; Liu Hua

  • Author_Institution
    Xi´an Res. Inst. Of High-tech, Xi´an, China
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    276
  • Lastpage
    278
  • Abstract
    To multi-task joint allocation problem, under the frame of Contract Net Protocol (CNP), a multi-task distributed allocation algorithm is put forward. Aimed at its computing complexity problem, the approximation algorithm that Genetic Algorithm (GA) embedded in Agent bidding process and Agent approximation coordination algorithm in A gent announcing process are presented further. The algorithm performances are analyzed. The example and analysis show that the approximation algorithms have better performance and computing efficiency.
  • Keywords
    computational complexity; distributed algorithms; genetic algorithms; multi-agent systems; protocols; CNP; GA; agent approximation coordination algorithm; agent bidding process; approximation algorithm; computing complexity; contract net protocol; genetic algorithm; multiagent; multitask distributed allocation algorithm; multitask joint allocation problem; Algorithm design and analysis; Approximation algorithms; Approximation methods; Complexity theory; Contracts; Planning; Resource management; Agent; Algorithm; Distributed Allocation; Multi-task;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933562
  • Filename
    6933562