An Efficient Heuristic Approach for Irregular Cutting Stock Problem in Ship Building Industry

被引:8
作者
Xu, Yan-xin [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
BIN-PACKING; GENETIC ALGORITHM; TYPOLOGY;
D O I
10.1155/2016/8703782
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents an efficient approach for solving a real two-dimensional irregular cutting stock problem in ship building industry. Cutting stock problem is a common cutting and packing problem that arises in a variety of industrial applications. A modification of selection heuristic Exact Fit is applied in our research. In the case referring to irregular shapes, a placement heuristics is more important to construct a complete solution. A placement heuristic relating to bottom-left-fill is presented. We evaluate the proposed approach using generated instance only with convex shapes in literatures and some instances with nonconvex shapes based on real problem from ship building industry. The results demonstrate that the effectiveness and efficiency of the proposed approach are significantly better than some conventional heuristics.
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页数:12
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