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By means of the projection method,adding a small disturbing function to the objective function, the penalty method, andthe gradient method, this dissertation proposes several neural networks for solvingsaddle point problems and minimum radius of ball-coverings problems, and investi-gates the stability of the proposed networks by the LaSalle invariance principle andthe Lyapunov method, so as to design neural networks which avoid getting stuck inthe local minimum.

本文针对约束鞍点问题和球覆盖最小半径的计算问题,分别利用投影法、对目标函数加上很小"扰动函数"的逼近法、罚函数法和梯度法等建立神经网络模型进行求解,并基于LaSalle不变集原理和Lyapunov直接法等工具,对模型的动态特性进行研究,从而设计出避免陷入局部极小的优化计算神经网络模型。

Robust design objective is always structural response′s first derivative, constraint functions are nonlinear functi...

鲁棒设计目标函数为结构响应的一阶导数,约束函数也是非线性隐函数,因此是多变量的非线性优化问题。

According to invalidate transform between non-linear constraining function and linear constraining function, and the disable partial differential coefficient of first order for objective function, GA has been chosen for the built mathematic mode, also, the conception of GA, its computing process, features, and operating parameters are introduced irrespectively in this article, meantime, a managerial software for oil pipeline's optimization is programmed.

根据优化模型中的非线性约束函数无法化为线性约束函数,目标函数无法求一阶偏导数的特点,本文从众多优化方法中选择遗传算法对所建立的数学模型进行求解,并对遗传算法的概念、计算步骤、特点、运行参数等逐一进行介绍,并编写了输油管道优化运行管理的软件。

The lexicographically stratified method for multi-object optimal electric power network planning is presented according to the problem encountered in the research on multi-object electric power network planning.

针对目前研究大规模多阶段多目标电网规划遇到的问题,提出了多目标电网规划的分层最优化方法,使得计算量大幅度降低,避免了多目标函数处理的困难;同时提出的改进最优切负荷模型更易于计算缺电成本,使可靠性指标转化为经济性指标时方便实用,算例证明了本文算法的有效性。

The linear approximation function uncouples the problems at different terminals so that we arrive at the local problem for each terminal at each time period.

构造线性替代函数来逼近目标函数中的期望函数部分,使问题分解为多个单时段单节点问题。

Some convergence results of the gradient projection method under milder conditions are obtained.

进一步给出了目标函数f是凸函数和拟凸函数时的更强的收敛性结果。

A standard expected value model for multi-objective multi-stage transmission planning is presented to realize the transmission optimal planning with the control of line overloading risks. In this model, a constraint of overloading risks is built with expected value and standard deviation of random line active power and two objectives are given as expected value of the average power loss and discount value of the investment cost. By modeling uncertain informations with probability theory, the probabilistic DC power flow is adopted for the correlated calculations among random variables in the planning model.4 A novel multi-objective transmission planning approach that considers transmission investment profit is proposed. Requests for transmission investment profit and social welfare are involved in the proposed planning approach.

以方案总投资费用贴现值和平均网损期望值为目标函数,建立多目标多阶段输电网规划的期望值模型,以线路有功潮流过负荷随机变量的期望值和标准差构建过负荷风险约束,考虑了风险发生概率和严重程度两方面的特征,通过对不确定性信息的概率建模,利用概率直流潮流进行各随机变量的相关计算,实现了控制过负荷风险条件下的输电网优化规划。4提出考虑输电投资收益的多目标输电网规划方法,综合考虑市场参与者对输电投资收益和社会总福利的要求加热管及其对输电网规划的影响。

This paper proposed a modified Particle Swarm Optimization algorithm to solve the mixed model assembly line sequencing problem in discrete space with two objectives:total production rate variation and total idle-overload time.

提出在离散空间用一种改进的微粒群优化算法来解决混流装配线的多目标排序问题,考虑两个目标:总生产变化率最小和总闲置-超载时间最小,并对两个目标函数进行了规范化处理以消除量纲的影响。

We transforms the special linear system of strict inequalities into three kinds of minimax problems, and then solves it with the aggregate function method assisted with some corresponding method. At last the numerical experiment is done under the environment of matlab.

我们将其转化为三种形式的Minimax问题,对转化后的三种Minimax问题,用凝聚函数法分别将其目标函数光滑化,并分别用带Armijo不精确线搜索的最速下降法、带自适应参数修正的凝聚函数法以及既约梯度法来求解。

Through taking the passenger carriage, shunting locomotive and parking lines for rolling stock as the research objects and applying the scheduling theory, a flexible flow shop carriage model of placing-in and taking-out for garage is established with minimizing of the total delay as the first objective and balanced using of shunting locomotives as the Second objective.

以车底、调机运用、车底停留线为研究对象,利用排序理论,以总晚点数最小为第一目标和调机均衡运用为第二目标建立具有柔性流水作业性质的车底取送模型,以客技站股道均衡运用为目标函数构造车底停留线运用模型。

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