在停车诱导和交通流控制双重目标函数约束下，建立了停车诱导与交通流控制协同优化模型。
Based on the double object-function constraints of parking guidance and traffic flow control, optimization model of parking guidance coordinated with traffic flow control was constructed.
由于参数对控制变量的影响比较复杂，为了得到较好的控制效果采用遗传算法在多目标函数约束下进行优化。
In order to achieve good control effect, Generic Algorithm is adopted to solve such a complex problem with some many parameters.
提出了基于最大互信息熵且具有奇数约束的优化得分函数。
A score function for optimization based on maximum mutual information entropy with odditional restriction is proposed.
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。
This very simple program declares the two decision variables: the constraint and the objective function.
噢，这个问题是如此简单，问题数据都作为声明中决策变量的系数直接包含在了目标函数和约束声明中。
Well, this problem is so simple that the problem data is directly included in the objective function and constraints declarations as the coefficients of the decision variables in the declarations.
一次只尝试放松每个边界约束一个单位，解决修改后的问题，看一下目标函数的优化值发生了什么变化。
Try relaxing the value of each bounded constraint one at a time, solve the modified problem, and see what happens to the optimal value of the objective function.
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。
Analogously, if we could relax the sugar constraint by one unit, the objective function would improve by 0.075.
边界约束阻碍了目标函数达到更为优化的值。
A bounded constraint prevents the objective function from reaching a better value.
因此，这个约束中放松一个单位（增加一个小时）可以使目标函数的优化值增加边界值1，成为 181。
Therefore, a relaxation of one unit in that constraint (an increment of one hour) would make the objective function's optimal value become better by the marginal value 1 and become 181.
例如，表可能依赖于用户定义的不同类型；检查约束依赖于函数；视图依赖于视图、别名和函数；等等。
For example, tables may depend on user-defined distinct types; check constraints depend on functions; views depend on views, aliases, and functions; and so on.
在清单10中，传递给delete函数的第二个参数指定了执行delete操作时使用的约束或过滤器。
In Listing 10, the second argument passed to the delete method specifies the constraint or filter to be used when performing the delete operation.
这个约束强制任何类型'T '都必须具有无参数的公共构造函数。
This constraint forces any type 't' to have a default constructor, that is, a constructor that takes no parameters.
上次我们看了，怎样利用拉格朗日算子，去求解一个受约束的，多变量函数的最大最小值。
OK, so last time we saw how to use Lagrange multipliers to find the minimum or maximum of a function of several variables when the variables are not independent.
在这个示例中，XFormsinstance函数指出命名的实例中的所有数据都受到约束。
In the example, the XForms instance function indicates that all data in the named instance is constrained.
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。
Then you saw how to use a simple MathProg program to solve it using sets, parameters, constraints, decision variables, and an objective (target) function.
有关目标函数状态和约束的确切信息。
Precise information about the status of the objective function and about the constraints.
strcpy函数可以通过以下方式使用“s ”和“D ”约束来实现。
The strcpy function can be implemented using the "s" and "d" constraints in the following manner.
同样，实例化泛型类的客户机类必须使用满足对构造函数存在所声明的约束的类来这样做。
Also, client classes that instantiate our generic class must do so with classes that meet the declared constraint on what constructors exist.
一个需要得到最大值的函数，和一个需要遵守的约束条件。
So I've got a function to maximize and a constraint that must be obeyed.
然而，士兵需求是没有边界的，因此其状态是B，这个约束中的放松不会改变目标函数的优化值。
The soldier demand, however, is not bounded, thus its state is B, and a relaxation in it will not change the objective function's optimal value.
换而言之，当约束使用新的(x 1,x2)对时，x2的变化不会引起目标函数值的变化。
In other words, a change in x2 won't change the objective function's value, given that the constraint holds for the new (x1, x2) pair.
所生成的报告显示glpsol会读取这个模型，调用一个GLPKapi函数来生成目标函数，然后调用另外一个api函数来生成约束。
The report shows that glpsol reads the model, calls a GLPK API function to generate the objective function, then calls another API function to generate the constraints.
Scala对构造函数的约束有一些好处。
There are a few advantages of Scala’s constraints on constructors.
通过对模糊c均值算法聚类特性的分析，引入了约束函数及模式相似度的概念，提出了改进的FCM算法。
With the clustering feature analyzed, restrained function and pattern similarity are introduced. Then the algorithm of improved FCM is presented.
本文中，利用目标函数或约束条件的几何性质，提供了某些多元函数极值或最值问题的几何解法。
In the paper, it provides the geometrical solution to extreme value of many variables function by geometric properties of objective function or constraint condition.
具体表现为运用线性完备变换方法，以贷款组合风险最小为目标函数，以贷款组合期望收益率为约束条件建立模型。
It represent in the model setup with the linear complete transfer and the minimum risk of loans portfolio as the target function and the constraint of earning yield risk value.
假定约束是可行、规范的，对于目标函数为正定或半正定的情形，得到了全局最优解的充要条件。
Under the cases that the objective function is positive definite or positive semidefinite, the necessary and sufficient conditions to characterize global optimal solution are obtained.
该算法采用矩阵编码方案，建立罚函数满足课表问题中的多重约束条件。
Matrix used as encoding of the algorithm, and a penalty function is adopted to satisfy the multi-constraint.
该算法采用矩阵编码方案，建立罚函数满足课表问题中的多重约束条件。
Matrix used as encoding of the algorithm, and a penalty function is adopted to satisfy the multi-constraint.
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