The paper applied an improved ant colony algorithm in the combinatorial optimization in one-dimensional cutting stock problem. Through experiments, optimizing the algorithm parameters, the simulation results verify the algorithm for solving one-dimensional cutting stock problem of good performance.
通过实验,优化了改进算法的参数,并用改进后的蚁群算法求解了一维下料问题。
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The relations among the board welding problem, knapsack problem and cutting stock problem are also discussed.
另外还讨论了拼板问题、背包问题和下料问题的关系。
The cutting stock problem possesses important and widespread application in the engineering techniques and the industrial production.
“下料问题”在工程技术和工业生产中有着重要和广泛的应用。
With the rapid development of national economy in recent years, the one-dimensional cutting stock problem occurs in many industry areas.
近年来，随着国民经济的飞速发展，一维下料问题在建筑、电力、水利等领域获得了越来越广泛的应用。
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