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基于割平面的随机规划分解方法
引用本文:刘国栋,刘敬生.基于割平面的随机规划分解方法[J].山东科技大学学报(自然科学版),2009,28(2):102-105.
作者姓名:刘国栋  刘敬生
作者单位:山东科技大学,信息科学与工程学院,山东,青岛,266510
摘    要:以两阶段随机规划为例,给出了基于割平面的三种分解方法:L型方法、多切割方法和自适应多切割聚合算法。三种方法都是以割平面为基础,将大规模问题分解为一系列小规模问题进行求解,从而降低了求解的规模。通过分析三种方法的优缺点,得到用自适应多切割聚合算法求解大规模问题时在计算时间方面的优越性,并给出了今后研究的方向。

关 键 词:随机规划  L型算法  多切割算法  自适应多切割聚合算法

Decomposition Method Based on Stochastic Programming with Cutting Plane
LIU Guo-dong,LIU Jing-sheng.Decomposition Method Based on Stochastic Programming with Cutting Plane[J].Journal of Shandong Univ of Sci and Technol: Nat Sci,2009,28(2):102-105.
Authors:LIU Guo-dong  LIU Jing-sheng
Institution:College of Info Science and Engineering;SUST;Qingdao;Shandong 266510;China
Abstract:Based on the cutting plane,the three decomposition methods: L shaped method,multi-cutting method and self-adaptive multi-cutting aggregation method for solving the two stage stochastic programming are discussed in the paper.These methods are all based on cutting plane and decompose a large scale problem into a series of small problems.Therefore,it reduces the problem size for solving considerably.By analyzing the merits and demerits of these three methods,we find out the advantages in solving a large scale ...
Keywords:stochastic programming  L-shaped algorithm  multi-cutting algorithm  self-adaptive multi-cutting aggregation algorithm  
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