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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.633182