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Optimum design for double-horse head beam pumping unit is a question of non-linear programming with inequality constraint condition and multi-objective function.

双驴头抽油机优化设计是一个具有不等式约束多目标函数的非线性规划问题。

Then its optimization result was presented by means of genetic algorithm because of some discrete parameter , complicated target function and inequation constraint.

考虑到该优化问题的目标函数非常复杂且涉及到不等式约束、离散变量的处理技术等问题,采用了基于遗传算法的优化计算方法。

An optimized calculating method for inertia force balance in ideal mechanism takes the interval dynamics norm as the goal function and simulates the effect of the interval in the motion join.

以间隙动力学指标作为目标函数,以理想机构惯性力平衡的优化计算,模拟反映了运动副间隙对四杆机构动力特性的影响。

Then, we define an input variable selection criterion to select and sequent candidate variables.

定义了一种同时考虑了模糊模型的精确性和可解释性的模糊模型目标函数,用于确定模型结构。

The optimal solution of this integer programming model is derived by Lingo 5.0. And the distribution scheme of the first 30 clients is given.

以会员的最大满意度为目标函数,建立一个整数规划模型,得到问题的分配方案,并计算出前30位会员的分配结果。

This paper proposes a model for reactive power optimization considering UPFC based on the interior point algorithm .

基于内点优化方法,提出了计及UPFC的无功优化模型,以系统网损最小为目标函数,采用UPFC电压源模型,将其作用等效为一系列电压和功率的约束,直接放到内点法的约束中,在不同的负荷运行方式下进行了优化分析。

Given the maximum and minimum number of input variables and rules, a set of fuzzy models is constructed. Finally, the optimal fuzzy model is selected by the objective function, and is optimized by a genetic algorithm to achieve a good tradeoff between interpretability and precision.

最后给定最大最小的输入变量数目和规则数目,辨识得到一组模糊模型,利用模型选择目标函数,选择最优的模糊模型,并采用遗传算法进行优化,达到解释性与精确性的折衷。

The main contributions of this dissertation can be summarized as follows:First of all, in the dissertation the linear programming problem whose objective function has interval coefficients is investigated.

全文主要内容如下:首先,对目标函数中具有区间系数的线性规划问题进行了讨论。

Aim at ubiquitous parallel multi-reservoir structure in our countrys basin, the universal objective function including coefficient Bi embodying a spatial significance difference at different flood control points and variable ai denoting a selection of scheduling mode is established, which provide a valid intervenor interface for flood control consultation decision. According to the real-time requirement, a model of reservoir storage allocation is proposed, which embody basic idea of phasic compensation. Passing the dynamic correction to cut down the disadvantageous influence that indetermination result in on the certain degree, joining together the step alternation solving method, this model can maximally consider bias of decision makers, ensure the rationality and practicability of the solutions.

针对我国流域中普遍存在的并联库群结构,论文提出包含不同防洪点重要性的系数β_i和选择调度模式的变量α_i的通用目标函数,为防洪会商决策,提供了有效的人工干预接口,根据实时性要求提出动态分配防洪库容的库容分配方法,体现了相机补偿的基本思想,通过动态修正在一定程度上可以削减不确定性造成的不利影响,结合分步迭代求解技术,能最大限度体现决策者的偏好,保障解的合理性和可操作性。

For its two special cases: N = 0 and R=0, based on nongradient and gradient methods respectively, neural networks for the two cases are constructed. With the Lyapunov theorem and the LaSalle invariant set principle, the proposed networks are proved to be

推广了R_0性质的定义,并证明无约束优化问题目标函数的水平集的有界性与矩阵对的R_0性质是等价的,最后运用Lyapunov稳定性理论和LaSalle不变原理,严格分析了网络模型的稳定性和收敛性,这些模

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然而,正如其名字所指出的那样,CD盘不能写,也不能用任何方式改变其内容。

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