有约束单一尺寸矩形毛坯最优排样的拼合算法
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    摘要:

    采用拼合法解决有约束单一尺寸矩形毛坯的优化排样问题。采用分支定界法扩展排样方式树,考察所有可能使当前最好解改善的节点。详细阐述分支及确定上限与下限的方法。对无约束排样的Agrawal剪切算法进行扩展,使之适用于解决有约束排样问题。采用拼合算法和扩展Agrawal剪切算法对大量数据进行实验计算,说明拼合算法是有效的。

    Abstract:

    The problem of generating constrained cutting patterns for rectangular blanks of a single size from a rectangular sheet by a joining method was dealt with. A branch and bound method has been used to extend the tree of patterns, and all nodes possible to improve the current best solution were explored. The methods to branch and to obtain upper and lower bounds were described in detail. Agrawal's algorithm for generating unconstrained patterns was extended to generate constrained patterns. The joining algorithm and the extended Agrawal's algorithm have been applied to the same group of experimental data. The computational results showed that the joining algorithm is extremely efficient.

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郭俐,崔耀东.有约束单一尺寸矩形毛坯最优排样的拼合算法[J].农业机械学报,2007,38(10):140-144.

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