• DocumentCode
    2299200
  • Title

    Flow Shop Scheduling Using an Improved PSO

  • Author

    Chen Qunxian

  • Author_Institution
    Electron. Inf. Sch., Shanghai Dianji Univ., Shanghai, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    296
  • Lastpage
    299
  • Abstract
    Particle swarm optimization (PSO) algorithm has shown some important advantages, but it has a tendency to get stuck in a local optimal solution. This paper presents an improved particle swarm optimization (IPSO) algorithm to improve the performance of traditional PSO, and it is applied to solve the flow shop scheduling problem and compared with GA and traditional PSO algorithm. Experimental results indicate that the IPSO algorithm for FSSP improves the search performance and shows the effectiveness of the algorithm to solve optimization problems.
  • Keywords
    flow shop scheduling; particle swarm optimisation; flow shop scheduling; improved particle swarm optimization algorithm; local optimal solution; Automation; Birds; Companies; Consumer electronics; Fluid flow measurement; Job shop scheduling; Manufacturing; Mechatronics; Particle swarm optimization; Scheduling algorithm; PSO; algorithm; flow shop; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.455
  • Filename
    5459804
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2299200