检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]东北大学信息科学与工程学院,辽宁沈阳110004
出 处:《东北大学学报(自然科学版)》2003年第1期11-14,共4页Journal of Northeastern University(Natural Science)
基 金:国家自然科学基金资助项目(70171030;60274049).
摘 要:提出了一种新的算法 分枝定价(Branch and Price)算法解经典CLSP,带有能力约束的单级多项动态批量问题(Thecapacitatedsingle level,multi item,dynamiclot sizingproblem)·CLSP问题有广泛工业背景,而且已被证明为NP Hard问题,它的目标是最小化总的装设(set up)费用和库存费用之和在所考虑的时间范围(horizon)内,并且满足给定约束条件·分枝定价算法是一种广义分枝定界(branch and bound)算法,它允许应用列生成(columngeneration)过程于整个分枝定界树·详细描述了该算法的实现,并用两组benchmark问题测试实例说明了该算法的有效性和优越性·A new BranchandPrice approach was presented to solve the classical capacitated singlelevel multiitem dynamic lotsizing problems,also called as CLSP. Its objective is to minimize the sum of setup and inventoryholding costs over the horizon under consideration, such as demands, capacity restrictions, etc. CLSP is frequently encountered in the most industry settings and well known as NPHard problem. The BranchandPrice approach, a generalization of branchandbound with LP relaxation, allows column generation to be applied throughout explored nodes in the branchandbound tree. An implementation of the branchandprice approach was described in detail. Two groups of examples were computed to verify the correctness and advantages of the suggested approach.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.3