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一维下料问题的启发式方法
引用本文:祝胜兰,饶运清.一维下料问题的启发式方法[J].江苏机械制造与自动化,2014(1):52-55.
作者姓名:祝胜兰  饶运清
作者单位:华中科技大学机械科学与工程学院,湖北武汉430074
摘    要:针对单一规格的一维下料问题,提出一种新的随机启发式搜索算法,在求出所有可能切割方式的情况下,搜索出最优解,而且保证最后一根原材料余料长度最长,方便以后下料.对于多规格原材料情况的一维下料分解为多个单一原材料的一维下料问题来进行求解.计算表明,与启发式算法或者遗传算法相比较,随机启发式搜索算法结构简明,易于编程,计算速度快,节材效果优.

关 键 词:一维下料问题  优化  启发式算法  随机搜索

Heuristic Method for One-dimensional Cutting Stock
ZHU Sheng-lanMechanical Science and Engineering College,Huazhong University of Science and Technology,Wuhan,China RAO Yun-qing.Heuristic Method for One-dimensional Cutting Stock[J].Jiangsu Machine Building & Automation,2014(1):52-55.
Authors:ZHU Sheng-lanMechanical Science and Engineering College  Huazhong University of Science and Technology  Wuhan  China RAO Yun-qing
Affiliation:ZHU Sheng-lan(Mechanical Science and Engineering College, Huazhong University of Science and Technology,Wuhan 430074,China) RAO Yun-qing(Mechanical Science and Engineering College, Huazhong University of Science and Technology,Wuhan 430074,China)
Abstract:This paper puts forward a kind of new random heuristic search algorithm for the one-dimensional cutting stock,which is used to find out all feasible cutting pattems,search the optimal solution and make sure that the final piece of raw material is the longest excess one,which is easy of the later cutting.And one-dimensional multiple size cutting stock can be divided into several single size cutting stocks.Compared to heuristic and genetic algorithms,the random heuristic search algorithm has the advantage of the simple structure,fast computing speed and high usage of material.
Keywords:one-dimensional cutting stock  optimization  heuristic algorithm  random search
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