• DocumentCode
    1699537
  • Title

    Application of genetic algorithm for rectangular object layout optimization

  • Author

    Mi, Xiaozhen ; Zhao, Xiaodong ; Zhao, Wenzhong ; Fan, Wenhui

  • Author_Institution
    Mech. Eng. Dept., Dalian Jiaotong Univ., Dalian
  • fYear
    2008
  • Firstpage
    223
  • Lastpage
    228
  • Abstract
    Rectangular object layout is not a simple NP (nondeterministic polynomial) optimization problem because of the practical production rules, such as guillotine. Under some situations, the guillotine is even more important than the pure using ratio of metal sheets. To improve the using ratio of stock sheets and to reduce the production costs, the genetic algorithm is adopted to optimize rectangular object layout on stock sheets. The purpose of this paper is to construct the model of genetic algorithm and design the genetic operators. Combined with the lowest horizontal line- search algorithm, genetic algorithm model is applied into rectangular object layout optimization. Results show that the model in the paper can satisfy not only the practical production requirements of guillotine, but also the requirement for production convenience. In this way, user can get optimal layout results effectively and quickly and a higher material using ratio at the same time for normal production practice.
  • Keywords
    genetic algorithms; genetic algorithm; guillotine; horizontal line search algorithm; rectangular object layout optimization; stock sheets; Algorithm design and analysis; Automation; Cost function; Genetic algorithms; Interference; Manufacturing; Mechanical engineering; Polynomials; Production; Sheet materials; Genetic Algorithm; Genetic Operators; Guillotine; Rectangular Object Layout;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design, 2008. CSCWD 2008. 12th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-1650-9
  • Electronic_ISBN
    978-1-4244-1651-6
  • Type

    conf

  • DOI
    10.1109/CSCWD.2008.4536986
  • Filename
    4536986