The Practical Optimization Models of Cutting Stock Problems and Their Solutions
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The ″Cutting Stock Problem″ is a problem of dividing raw materials in the same shape into several parts in different shapes. This kind of problem has important and wide appliance in engineering and industry production. The article first established a model based on the least raw material usage, and solved the model using EPFF algorithm and layered gene algorithm. If the results mismatch the time limit, we process the problem with grouping sample optimizing model first, and then work out the optimal solution of the model using layered gene algorithm.