• Problem decision variables.

    问题决策变量。

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  • With two decision variables, it has two dimensions.

    有了这两个决策变量,它就有了两个维度。

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  • The third section shows the values of the decision variables.

    第三部分给出了决策变量的值。

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  • The first MathProg step is to declare the decision variables.

    第一个MathProg步骤是声明决策变量。

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  • GLPK has to consider the decision variables as integer variables.

    GLPK必须要将这些决策变量全部当作整型变量进行考虑。

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  • Note that all the decision variables are either 0 or 1, as expected.

    请注意所有的决策变量都是0或1,这与我们期望的一样。

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  • Precise information about the optimal values for the decision variables.

    有关决策变量的优化值的确切信息。

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  • Line 14 defines the decision variables, a five-element array on the PROD set.

    第14行定义了决策变量,这是一个包含5个元素的PROD集合的数组。

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  • Raw material is listed as a product so that all the decision variables can be in one set.

    原材料也作为一个产品列出来,这样所有的决策变量都可以在一个集合中了。

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  • The heart of this problem is the declaration of the decision variables as binary variables.

    这个问题的核心是将决策变量声明成二元变量。

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  • The post office problem introduced MathProg expressions and integer-only decision variables.

    邮局问题中引入了MathProg表达式和只使用整型的决策变量。

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  • Line 17 declares the decision variables and states that each of them can't be a negative value.

    第17行声明了决策变量,并声明每个决策变量都不能是负数。

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  • This very simple program declares the two decision variables: the constraint and the objective function.

    这个非常简单的程序声明了两个决策变量:约束和目标函数。

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  • The set covering problem teaches binary decision variables; that is, they can only be 0 or 1, yes or no.

    集合覆盖问题涉及的是二元决策变量;也就是说,它们的值只能是0或1、yes或no。

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  • Note how the constraints and the decision variables are now named after the TOY set, which looks clean and organized.

    请注意约束和决策变量现在在TOY 后面是如何命名的,这样看起来非常清晰,而且组织良好。

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  • The third section reports the optimal values of the decision variables: 3 scoops of ice cream and one bottle of soda.

    报告的第三部分则给出了决策变量的优化值:3份冰激凌和1瓶可乐。

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  • The decision variables are the production of the refinery product in multistage and the state variables are inventory.

    其中各阶段产品产量为决策变量,各阶段库存为状态变量。

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  • The mathematical formulations should clearly define the decision variables, the constraints, and the objective function.

    这个方程式应该明确的定义决策变量、约束条件和目标函数。

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  • In the model, quality prevention is supplier decision variable, quality evaluation and transfer payment are buyer decision variables.

    其中,质量预防水平为供应商的决策变量,购买商对供应商的转移支付和质量评价水平为购买商的决策变量。

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  • The optimal value of the relaxed objective function (the one that didn't consider the decision variables as integers) is also printed here.

    放松限制的目标函数(不将决策变量当作整数考虑)的优化值同时也给出来了。

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  • The influence of the main decision variables on the refrigeration and heating costs can be found by analyzing the optimization results.

    通过对优化结果的分析,可以看出主要决策变量对制冷、制热成本的影响。

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  • The essential relation between the three decision variables (capacity, price and sold inventory) and passenger demand factor is discussed.

    讨论了容量、价格和销售数量三个决策变量与市场需求要素之间的关系;

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  • Expressing decision variables of the structure optimization problem in the form of vector, a 0-1 integer nonlinear programming model is presented.

    该结构优化问题的决策变量采用了向量表示方法,建立0-1整数非线性规划模型,给出了可行解存在性的判定方法。

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  • Then you saw how to use a simple MathProg program to solve it using sets, parameters, constraints, decision variables, and an objective (target) function.

    接下来我们了解了如何使用一个简单的MathProg程序来使用集合、参数、约束、决策变量和目标函数来解答这个问题。

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  • Line 15 declares the decision variables as an array of seven variables defined on the DAYS set, representing the number of people that start work that day.

    第15行将决策变量声明为一个数组,它有七个变量,索引在DAYS集合中定义;分别表示从该天开始工作的员工数目。

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  • You may be wondering, in a problem with many more decision variables and constraints, would you have to declare each variable and each constraint separately?

    我们可能会纳闷,在有更多决策变量和约束的问题中,我们只能分别逐一声明每个变量和每个约束吗?

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  • For one single retailer, the explicit solution of the decision variables and the proportion of the channel profit allocated to the retailer were presented.

    在一个零售商的情况下,给出了决策变量及供应链利润分配的显式解。

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  • Using this mapping image can visually eliminate abnormal sample data, select decision variables and predict optimal operating point and direction for an industrial process.

    利用映射图象可以直观地剔除异常样本数据、选择优化决策变量和预测最优操作点和优化方向。

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  • Using reflux ratio and recovery as decision variables and total cost as objective function, the computer programs were programmed and optimized calculation was carried out.

    以回流比、回收率为决策变量,总费用最小为目标函数,编制计算机程序进行优化计算。

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  • Using reflux ratio and recovery as decision variables and total cost as objective function, the computer programs were programmed and optimized calculation was carried out.

    以回流比、回收率为决策变量,总费用最小为目标函数,编制计算机程序进行优化计算。

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