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。
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。
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。
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