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Genetic Algorithms to the Nesting Problem in the Leather Manufacturing Industry
作者姓名:张玉萍  蒋寿伟  尹忠慰
作者单位:[1]CollegeofMechanical&InformationEngineering,ShanghaiNormalUniversity,Shanghai200234//SchoolofMechanical&DynamicEngineering,ShanghaiJiaotongUniversity,Shanghai200030 [2]SchoolofMechanical&DynamicEngineering,ShanghaiJiaotongUniversity,Shanghai200030
摘    要:The nesting problem in the leather manufacturing is the problem of placing a set of irregularly shaped pieces (called stencils) on a set of irregularly shaped surfaces (called leathers sheets). This paper presents a novel and promising processing approach. After the profile of leather sheets and stencils is obtained with digitizer, the discretization makes the processing independent of the specific geometrical information. The constraints of profile are regarded thoroughly. A heuristic bottom-left placement strategy is employed to sequentially locate stencils on sheets. The optimal placement sequence and rotation are deterimined by genetic algorithms (GA). A natural concise encoding method is developed to satisfy all the possible requirements of the leather nesting problem. The experimental results show that the proposed algorithm can not only be applied to the normal two-dimensional nesting problem, but also especially suitable for the placement of multiple twodimensional irregular stencils on multiple two-dimensional irregular sheets.

关 键 词:遗传计算方法  嵌套问题  皮革制造业  皮衬  软件

Genetic Algorithms to the Nesting Problem in the Leather Manufacturing Industry
ZHANG Yu-ping,JIANG Shou-Wei,YIN Zhong-wei.Genetic Algorithms to the Nesting Problem in the Leather Manufacturing Industry[J].Journal of Donghua University,2005,22(1):90-96.
Authors:ZHANG Yu-ping  JIANG Shou-Wei  YIN Zhong-wei
Abstract:The nesting problem in the leather manufacturing is the problem of placing a set of irregularly shaped pieces (called stencils) on a set of irregularly shaped surfaces (called leathers sheets). This paper presents a novel and promising processing approach. After the profile of leather sheets and stencils is obtained with digitizer, the discretization makes the processing independent of the specific geometrical information. The constraints of profile are regarded thoroughly. A heuristic bottom-left placement strategy is employed to sequentially locate stencils on sheets. The optimal placement sequence and rotation are deterimined by genetic algorithms (GA). A natural concise encoding method is developed to satisfy all the possible requirements of the leather nesting problem. The experimental results show that the proposed algorithm can not only be applied to the normal two-dimensional nesting problem, but also especially suitable for the placement of multiple two-dimensional irregular stencils on multiple two-dimensional irregular sheets.
Keywords:leather nesting  genetic algorithms  twodimensional geometry  irregular  discretization
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