• DocumentCode
    507662
  • Title

    Application of Ant Colony Algorithm in Discrete Job-Shop Scheduling

  • Author

    Sun, Bo ; Wang, Hui ; Fang, Yadong

  • Author_Institution
    Inst. of Mech. & Electr. Eng., Xi´´an Technol. Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2009
  • fDate
    Nov. 30 2009-Dec. 1 2009
  • Firstpage
    29
  • Lastpage
    32
  • Abstract
    This paper summarily introduces principles of basic ant colony algorithm and explains the mathematical model of basic ant algorithm through the traveling salesman problem, and then the applications of the ant colony algorithm in discrete job-shop scheduling are expounded , and the mathematical model of discrete job-shop scheduling are mainly established through the method of the formation of one-to-one relationship by the path of utilizing the way which ants traverse the processes of the workpieces and discrete job-shop scheduling. So the objective function of the scheduling is optimized and the efficiency of the scheduling is improved. Lastly, the prospects of applying the ant colony algorithm to the discrete job-shop scheduling and future work for this problem are discussed.
  • Keywords
    job shop scheduling; travelling salesman problems; ant colony algorithm; discrete job-shop scheduling; mathematical model; one-to-one relationship formation; optimization; traveling salesman problem; workpiece scheduling; Ant colony optimization; Cities and towns; Computational modeling; Feedback; Job shop scheduling; Knowledge acquisition; Mathematical model; Scheduling algorithm; Sun; Traveling salesman problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3888-4
  • Type

    conf

  • DOI
    10.1109/KAM.2009.71
  • Filename
    5362326