• Maximize the following objective function.

    最大化下面的目标函数。

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  • The objective function is named z and equals 3x1 + 2x2. Note that

    目标函数称为z,它等于3x1 +2x2。

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  • Those values are integers that minimize the problem's objective function.

    这些值都是能使整个问题的目标函数最小化的整数值。

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  • Information about the problem and the optimal value of the objective function.

    有关问题和目标函数优化值的信息。

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  • A bounded constraint prevents the objective function from reaching a better value.

    边界约束阻碍了目标函数达到更为优化的值。

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  • Line 20 defines the objective function, which is just Rylon's profit (revenue - costs).

    第20行定义了目标函数,它是Rylon公司的利润(收入-成本)。

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  • The colon (:) character separates the name of the objective function and its definition.

    冒号(:)字符分隔开了目标函数及其定义。

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  • Precise information about the status of the objective function and about the constraints.

    有关目标函数状态和约束的确切信息。

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  • The usual quadratic objective function is introduced for each system as the performance index.

    引入了通常的二次型指标作为每一个系统的性能指标。

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  • For example, in the objective function, the coefficients 3 and 1 are part of the problem's data set.

    举例来说,在目标函数中,系数3和1就是问题数据集的一部分。

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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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  • So there are multiple points in the feasible region that yield the same value for the objective function.

    因此在这个可行域中有多个点对于目标函数来说会产生相同的值。

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  • The structure is then optimized based on above methods, taking structure weight as objective function.

    在此基础上,以壳体重量为目标函数对结构进行了优化设计。

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  • A simplified objective function and a modified clonal algorithm (CLONALG) based on memory are proposed.

    将二层规划目标简化为分段函数,提出基于记忆的改进克隆算法。

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  • Analogously, if we could relax the sugar constraint by one unit, the objective function would improve by 0.075.

    类似地,如果我们将糖约束放松一个单位,那么目标函数就会改进0.075。

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  • The first section shows that the solution is optimal and that the objective function equals approximately 172667.

    第一部分显示解是最佳的,目标函数约等于172667。

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  • The process of which is to solve the integer programming problem with the objective function that RMSE is minimal.

    选择最优参数的过程即是对以均方根误差最小为目标的整数规划问题的求解过程。

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  • Optimal placement of switch device is a combinatorial optimization problem with reliability cost objective function.

    分段开关优化配置是一种以可靠性费用最小为目标函数的组合优化问题。

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  • The first section says that the solution found is integer optimal, and that the value found for the objective function is 23, a minimum.

    第一部分说明所找到的解决方案是整型优化的,为目标函数找到的最小值是23。

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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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  • In mathematical programming, the problem in which the objective function and constraints are not all linear is called nonlinear programming.

    在数学规划中,当问题的目标函数和约束条件并非均为线性时,该问题即称为非线性规划。

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  • The traditional optimization design is only based on the minimum cost objective function and does not consider the mechanical analysis target.

    传统的优化设计仅以最低造价为目标函数,没有考虑结构的受力性能指标。

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  • With simulated annealing method, and using total quality of underwater shell as the objective function, the structure parameters are optimized.

    运用模拟退火算法,以水下航行器壳体的总质量最小为目标,对其结构参数进行全局优化设计。

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  • The objective function for evaluating the data link system is proposed, and then the system optimization algorithm and optimal results are presented.

    提出一种评价数据链路系统性能的目标函数,设计了数据链路系统的优化设计算法,并给出其优化结果。

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  • First, curved surface is considered as the search field and the length of route as the objective function, thus the optimization problem of route is set.

    首先,将整个曲面作为搜索空间,路径长度作为目标函数,设定了路径优化问题。

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  • The objective function on line 20 minimizes the total food cost as the total of each decision variable (amount of food) multiplied by that food's cost per unit.

    第20行的目标函数要对食物的总体成本实现最小化,该值是每个决策变量(食物数量)乘以每单位食物成本的结果。

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  • The objective function on line 20 minimizes the total food cost as the total of each decision variable (amount of food) multiplied by that food's cost per unit.

    第20行的目标函数要对食物的总体成本实现最小化,该值是每个决策变量(食物数量)乘以每单位食物成本的结果。

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