建立了热轧无缝钢管主生产计划问题的混合整数线性规划模型。
The master production scheduling(MPS) problem of hot rolling seamless steel tube is formulated as a mixed integer linear programming model.
以水源-水阱匹配关系为约束条件，建立了单杂质用水网络的混合整数线性规划模型。
The mixed integer linear programming model was established with the water source-sink matching as the constraint.
建立了面向供应链的多产品、多订单、多时段的订单任务分配的混合整数线性规划模型。
A mixed integer linear programming (MILP) model for orders dispatching in a supply chain with multi-product, multi-order, and multi-period was proposed.
研究了员工具有异质效率、最小化项目工期的项目调度问题，并建立了相应的整数线性规划模型。
Project scheduling with heterogeneous efficiency workforce to minimize project duration is considered, and the corresponding integer linear programming is presented.
该模型基于混合整数线性规划模型，以供应网络内总生产成本和物流成本最小化作为目标函数，并应用标准优化软件求解。
Minimizing total production and logistic costs within the supply network was considered as the objective function. This modified model can be solved using standard optimization software.
本文首先深入分析多无人机任务分配问题的特点，建立了扩展的混合整数线性规划(MILP)任务分配模型。
Firstly, the features of UAV task assignment are analyzed in depth, and then the extended mixed integer linear programming (MILP) model for task assignment is established.
该模型基于求解整数线性规划问题的分枝定界方法，具有求解并行、目标驱动、时间复杂性低等特点。
The model is based on "Branch Bound" method which is used to solving the problem of integer linear programming, and it has the characters of parallel computing, goal driving and less time complicacy.
针对传统的线性测量网络设计中没有给出具体的整数线性规划(ILP)模型问题，提出一种传感器优化配置模型。
To resolve the problem of the traditional linear sensor networks design not having detailed integer linear programming (ILP) model, an optimal redundant sensor network model was proposed.
第四章详述了利用纯整数线性规划的方法建立海运渡箱系统的优化模型；
Forth chapter: put forward innovating model: empty container reposition optimization model with Pure integer Linear Programming(PILP).
然而，在混合整数线性规划的框架下，模型的扩展十分困难。
However, it is quite difficult for the expansion of model under the MILP framework.
然而，在混合整数线性规划的框架下，模型的扩展十分困难。
However, it is quite difficult for the expansion of model under the MILP framework.
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