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一维下料方案的贪心算法优化 被引量:9

Optimization for One Dimensional Cutting Stock Problem Based on Greedy Algorithms
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摘要 在对一维下料方案数学模型分析的基础上,提出了一种基于贪心算法的求解方法.主要思想是采用原材料利用率最高的切割方式优先的贪心选择策略,从而将问题转化为求解给定集合的子集和问题.实际应用表明,采用该算法求解出一维优化下料方案,可提高材料的利用率. Based on analyzing the mathematical models for one -dimensional cutting stock problem, a greedy algorithm has been constructed, which is an approximate algorithm. The main idea is using the most efficient cutting technique of the raw materials at the moment - the greedy - choice strategy, and then changing the problem to a subset problem. Result shows that the algorithm is valid and efficient.
出处 《南昌大学学报(工科版)》 CAS 2005年第4期71-73,84,共4页 Journal of Nanchang University(Engineering & Technology)
关键词 一维下料 贪心算法 子集和 优化 one cutting stock problem greedy algorithms subset problem optimization
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二级参考文献24

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共引文献11

同被引文献27

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