We propose a two-stage stochastic programming model with uncertain demand.
建立了消费者需求不确定状态下的两阶段随机规划模型。
A stochastic programming model with fuzzy chance constraint is presented which has stochastic and fuzzy parameters.
提出一类模糊机会约束的随机期望值规划模型，该模型同时含有随机和模糊参数。
A stochastic programming model was established for selection of container shipping routes, Author put forward an effective way of handling uncertain data in the models.
建立需求不确定的海运集装箱路径随机规划模型，在模型中提出了处理不确定数据的有效方法。
Transform the bilevel stochastic programming model into single-level stochastic programming model under certain confidence, and a corresponding mixed method is designed.
在一定的置信度下，将双层规划模型转化为单层随机规划模型，并设计了相应的混合智能算法。
A stochastic programming model was established for selection of container shipping routes, and in the model uncertainty in container demands was taken into consideration.
基于海运集装箱运输问题特性的分析，建立了需求不确定的海运集装箱路径随机规划模型。
In this paper we propose a stochastic programming model to determine the location and capacity of centralized return centers and distribution centers in reverse logistics network.
为此，本文提出了一个随机规划模型用于确定逆向物流网络中集中式回收中心和分销中心的位置和容量。
Following, it describes in detail of the dynamic stochastic programming model used in asset liability management, consisting of the basic concepts, optimizing model and the steps.
第三，集中重点描述了随机动态规划在资产负债管理中的应用，包括基本概念、完整的优化模型及应用的步骤等。
A stochastic programming model with fuzzy chance constraint is presented which has stochastic and fuzzy parameters. Improved paper-boy problem demonstrates that the programming model is reasonable.
提出一类模糊机会约束的随机期望值规划模型，该模型同时含有随机和模糊参数。
We formulated scenario based multi-objective stochastic programming model to describe the problem of capacity planning under uncertainty and applied improved Multi-Objective PSO (MOPSO) to solve it.
提出了基于场景的多目标随机规划模型来构建不确定市场需求环境下的能力计划问题模型，并用改进的多目标粒子群优化算法求解。
A new bilevel programming model-bilevel stochastic programming model is presented and the genetic algorithms based on Monte Carlo simulation to solve bilevel stochastic programming problem is given.
信用资产组合模型的分布计算是信用计量模型中一个非常重要的主题，对于这个问题一般常用的方法是进行蒙特卡罗随机模拟。
A stochastic linear programming model with simple recourse was developed to study the asset and liability management of Banks under uncertainties based on the domestic economic environment.
使用带有简单补偿的随机线性规划模型，研究不确定下的银行资产负债管理问题。
Based on the theory of chance constrained programming and stochastic storage, this paper puts forward the model for the allocation of empty container, and provides corresponding example.
运用机会约束规划和库存论的思想，建立随机条件下空箱调配模型，并给出了相应的算例。以希望为集装箱运输管理人员提供一定的参考价值。
A chance constrained programming model is built to the stochastic optimal power flow problem (S-OPF) considering load probabilistic distributions.
针对考虑负荷概率分布的随机最优潮流问题，建立了相应的机会约束规划模型。
An integrated model is proposed using stochastic mixed integer programming approach.
提出了利用随机混合整数规划方法，建立了一体化模型。
The dynamic CRM model is presented by using stochastic game theory and estimable structural dynamic programming technologies.
运用随机博弈及可评估的结构动态规划技术建立动态客户关系管理的数学模型。
In this paper, an expected value programming model is introduced for a continuous production-inventory system with stochastic production cost and stochastic demand.
建立了具有随机生产费用和随机需求的连续生产存贮系统的期望值规划模型，运用动态规划方法给出了最优控制策略。
Network bottleneck capacity expansion problem with stochastic cost is originally formulated as chance-dependent programming model.
带有随机单位扩张费用的网络瓶颈容量扩张问题可以列出它的相关机会规划模型的通用表达式。
Based on stochastic programming, a multi objective chance constrained optimization model is developed for an illustrative coal blending problem.
在随机规划学的基础上，建立了电厂优化配煤的多目标机会约束数学模型。
Network bottleneck capacity expansion problem with stochastic cost is originally formulated as Chanceconstrained programming model accordin.
带有随机单位扩张费用的网络瓶颈容量扩张问题可以列出它的相关机会规划模型的通用表达式。
The parameters of model are measured by taking into account the stochastic characteristic of entire test data, which is connected with a maximum likelihood method and math programming.
考虑整套试验数据的随机特性，利用极大似然法原理和数学规划法求解模型参数。
The parameters of model are measured by taking into account the stochastic characteristic of entire test data, which is connected with a maximum likelihood method and math programming.
考虑整套试验数据的随机特性，利用极大似然法原理和数学规划法求解模型参数。
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