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随机线性规划 meaning in Chinese

stochastic linear programming

Examples

  1. Study on calculating the parameters of stochastic linear programming model based on raga
    随机线性规划模型参数求解的基因方法
  2. Third and forth chapter : establish a series of stochastic linear programming models grounded on the chance - constrained programming to handle the dynamic and uncertain character of the empty container allocation problem
    第三章和第四章:建立一系列基于机会约束规划的随机线性规划模型来处理集装箱空箱分派问题的动态性和不确定性特征。
  3. Traditional uncertain programming mainly contains stochastic programming and fuzzy programming , which have many applications in manufacture , economy and management etc . especially , the theory of stochastic or fuzzy linear programming is more complete , so it has more applications than stochastic or fuzzy nonlinear programming
    传统的不确定规划主要分为两大类:随机规划和模糊规划,并且在生产、经济及管理等诸多方面已有广泛的应用,特别是随机线性规划和模糊线性规划理论较为完善,应用更加广泛。
  4. In this paper i calculate the reasonable possession quantity of port handling machineries with chance - constrained linear programming . first in the paper is the background and meaning of this research ; then analysis present situation of port machinery management both in practice and theory ; in chapter 3 , i qualitatively discusses characters influencing machinery quantity , which include lifting ton , intact rate and using rate , age of machinery , machinery purchase and working cost and so on . in chapter 4 , i take the influencing characters to mathematic model of chance - constrained linear programming , aiming to maintain the need of production and reduce machinery cost
    文章首先介绍了选题的背景、意义以及主要工作;第2章介绍了港口机械管理在港口企业管理中的地位与作用,以及我国港口机械设备管理与配置现状,并简要介绍目前港机合理拥有量的理论研究方法;第3章从技术与经济角度定性分析了各种因素对港机拥有量的影响,其中主要包括机械起运量、完好率与利用率、机械设备役龄、购置与营运成本等;第4章将各种影响因素引入模犁,提出以完成生产任务、机械成本最低为目标,应用随机线性规划模型计算港口流动机械合理拥有量的方法;第5章以大连港大港区为例对模型进行应用,选择四种型号叉车为研究对象,对其历史经济与技术数据进行统计分析,其中重点对随机变量单位台时维修费用进行了正态分布拟合。

Related Words

  1. 线性规划的退化
  2. 随机突变
  3. 随机仪表
  4. 随机独立
  5. 随机地址
  6. 随机偏差
  7. 随机群体
  8. 随机阵风
  9. 随机重复
  10. 随机效应
  11. 随机线失落
  12. 随机线性差分方程
  13. 随机线性规则
  14. 随机线性控制
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