• DocumentCode
    3161314
  • Title

    Research of compound operation optimization based on Partheno Genetic Algorithm

  • Author

    Liu, Wanjun ; Huang, Yangbo ; Ding, Peng

  • Author_Institution
    Sch. of Software, Liaoning Tech. Univ., Huludao, China
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    2945
  • Lastpage
    2948
  • Abstract
    Compound operation is one of the important operations of Automated Storage and Retrieval System (AS/RS), and optimizing compound operation is an important method to improving the operation efficiency of AS/RS. Based on the characteristics of compound operation, this paper constructs the optimized mathematical model, and designs an efficient Partheno-Genetic Algorithm to solve the scheduling problem. Simulation result shows that operation time has been reduced greatly and operation efficiency increased greatly with little execution time of the program. The optimized algorithm has good global search capability, can pay attention to both the time and effect to meet the actual request, suitable for engineering applications.
  • Keywords
    genetic algorithms; mathematical analysis; scheduling; storage automation; Partheno genetic algorithm; automated storage and retrieval system; compound operation optimization; global search capability; optimized mathematical model; scheduling problem; Algorithm design and analysis; Biological cells; Compounds; Computational modeling; Electronics packaging; Optimization; Automated Storage and Retrieval System (AS/RS); component; compound operation; gene recombination; partheno genetic algorithm(PGA);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5640561
  • Filename
    5640561