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1)  mixed-integer stochastic programming
混合整数随机规划
2)  multi-objective mixed-integer stochastic programming
多目标混合整数随机规划
1.
In order to solve the Vendor Selection Problem(VSP) with stochastic demand and price discount under multi-products purchases,a multi-objective mixed-integer stochastic programming model was constructed.
为了解决随机性需求和价格折扣并存条件下的多产品采购供应商选择问题,建立了相应的多目标混合整数随机规划模型。
3)  stochastic integer programming
随机整数规划
4)  hybrid chance-constrained integer programming
混合机会约束整数规划
1.
A hybrid chance-constrained integer programming model with fuzzy and stochastic parameters is presented.
提出并建立了一类混合机会约束整数规划模型,该模型同时含有模糊和随机参数。
5)  mixed integer linear programming
混合整数规划
1.
Multi-period mixed integer linear programming model and applications for crude selection;
多周期混合整数规划购油模型及应用
2.
At present, most of crude inventory scheduling optimization problems in refinery are solved by mixed integer linear programming (MILP) based on linear models.
应用该算法对实例的计算结果表明,它不仅具有模型表达简单的优点,而且效率较单纯的混合整数规划算法也有了一定程度的提高。
6)  mixed integer programming
混合整数规划
1.
A method of non-linear penalty function for solving integer programming and mixed integer programming;
一种求解整数规划与混合整数规划非线性罚函数方法
2.
Both models of nonlinear recursive programming and mixed integer programming for crude optimization were introduced.
介绍原油优选模型中的非线性递归模型和混合整数规划模型技术。
3.
The problem is formulated as a mixed integer programming and an corresponding algorithm is put forward,which first planed location,and then planed resources allocation,and solv.
针对该问题构建了混合整数规划模型,提出了一种先进行选址然后进行资源分配的优化算法。
补充资料:混合整数规划
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性质:若非线性规划中的变量仅仅一部分为整变量,其余为连续变量,则称为混合整数非线性规划。MINLP是十分有用的运筹方法,在过程合成或最优化设计中,常常导出MINLP模型。但当变量个数的规模较大时,往往无法得到精确解。

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