• DocumentCode
    1817608
  • Title

    Irregular shape nesting and placing with evolutionary approach

  • Author

    Bounsaythip, Catherine ; Maouche, Salah

  • Author_Institution
    Centre d´´Autom., Univ. des Sci. et Tech. de Lille Flandres Artois, Villeneuve d´´Ascq, France
  • Volume
    4
  • fYear
    1997
  • fDate
    12-15 Oct 1997
  • Firstpage
    3425
  • Abstract
    The purpose of this paper is to propose an evolutionary method to solve a garment shape nesting and placing problem. The structure used by the evolutionary algorithm is organised into a hierarchical tree which is similar to representation used in genetic programming. The first level deals with the basic nesting operation in which a reduced `comb code´ is used. The higher level makes use of trees organised in such a way that each of them represent a strip of layout. This representation can efficiently cope with the combinatorial aspect of the shape placing. Simulations have been implemented in a Smalltalk environment. Results compared to those of tree search show that the evolutionary method is a suitable tool for finding several good solutions and deterministic search comes as a complementary tool for focusing the search on a specific region
  • Keywords
    computational geometry; computer graphics; software prototyping; trees (mathematics); Smalltalk environment; evolutionary approach; garment shape nesting; genetic programming; hierarchical tree; irregular shape nesting; placing; shape placing; simulations; tree search; Biological cells; Clothing; Containers; Encoding; Evolutionary computation; Genetic algorithms; Optimization methods; Robustness; Shape; Strips;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4053-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1997.633182
  • Filename
    633182