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optimization相关的网络例句

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Then base on theweak interference of cable displacement and near influence of hanger tension theories, deducing thesimplified computation method in construction stage. Accouding to the result from optimization, contractwith the result that from using the finite element sofeware ANSYS, we consider the geometric nonlinearand so on. Through the example proving, deduce the simplified optimization method which iseffectiveness, and disproof the weak interference of cable displacement and near influence of hangertension theories is illogicality.

并基于主缆位移的弱干性和吊索索力相邻影响的特性,推导出施工阶段的简化分析方法,然后利用大型有限元程序ANSYS考虑主缆的几何非线性等影响,对成桥索力进行优化,并对两者结果进行对比,通过实桥算例验证,得出有效的简化优化方法,并反证主缆位移的弱干性和吊索索力相邻影响的特性的不合理。

Furthermore the optimization solutions of model are given, consequently the optimization distribution coefficient and fixed payment are proposed.

对模型进行优化求解,得出物流服务集成商提供给每个提供商最优的分配系数和固定支付。

All of these applications show that study on conic optimization is necessary. For detail, we conclude them as follows:The models, foreign and internal study situations on conic optimization and its dual problem are introduced in Chapter one, and we point out the key problem and research matter.Chapter two introduces some primary properties of a cone and its dual cone.

第二部分是应用实践:将所提出的锥规划及其对偶锥规划应用在各个领域,例如最小二乘问题、多项式求解、协方差矩阵估计,以及在其它方面的运用,这些应用无不显示出研究锥规划的必要。

The optimality conditions of Kuhn-Tueker and Fritz John's saddle points of vector optimization for generalized subconvex-like mapping are presented. Lagrange dual mapping and relationships among optimality conditions of saddle points, efficient and weak efficient solutions for vector and scalar optimization are established.

在拓扑向量空间框架内研究广义锥次类凸映射的向量优化,给出了广义锥次类凸映射的Kuhn-Tucker和Fritz John鞍点的最优性条件和Lagrange对偶,建立鞍点最优性条件与向量优化有效解和弱有效解之间的联系。

The paper studies the mathematical model of the dynamic reactive optimization and the particle swarm optimization.

论文研究了动态无功优化的数学模型和粒子群优化算法。

Seeking fast theoretical convergence and effective algorithms in unconstrained optimization is a very interested research topic for the optimization specialists and engineers.

对于非线性优化问题寻找快速有效的算法一直是优化专家们研究的热门方向之一。

This algorithm constructs a set of linear equations. As a result, the relation of the reconstructed design variables and the original design variables is derived, the variable number of optimum design is decreased from m + n + 2 to 4, and the equality constraint optimization problem is converted into reduced- dimension no equality constraint optimization problem.

该算法通过构造一组线性方程,得到了由重构设计变量到原设计变量的映射关系,使优化设计的变量由原来的m + n + 2个减少到4个,并将有等式约束优化问题转换成降维的无等式约束优化问题。

In chapter 2 we propose a linear equality constraint optimization question , the new algorithm is combined with the new conjugate gradient method(HS-DY conjugate gradient method)and Rosen"s gradient projection method , and has proven it"s convergence under the Wolfe line search.In chapter 3 we have combined a descent algorithm of constraint question with Rosen"s gradient projection, and proposed a linear equality constraint optimization question"s new algorithm, and proposed a combining algorithm about this algorithm, then we have proven their convergence under the Wolfe line search, and has performed the numerical experimentation.

在第三章中我们将无约束问题的一类下降算法与Rosen投影梯度法相结合,将其推广到线性等式约束最优化问题,提出了线性等式约束最优化问题的一类投影下降算法,并提出了基于这类算法的混合算法,在Wolfe线搜索下证明了这两类算法的收敛性,并通过数值试验验证了算法的有效性。

By use of the orbital ergodic property of chaotic optimization and the learning, memory, association and fault-tolerant functions of artificial neutral network, the optimization of the pollutant-receiving water system in a mine reform project was made so as to effectively control the main pollutants such as COD,Pb etc.whic...

利用混沌优化的轨道遍历性和人工神经网络的学习、记忆、联想和容错性,对某矿山扩建项目中污染物的受纳水系进行优化,以有效地控制生产过程中的主要污染物如COD ,Pb等。

For a class of bilevel multi-objective decision,this paper converts it into the problem of equivalent single-level multi-objective decision,then makes use of the inversion property of the genetic algorithm with the ergodic property of the chaos optimization method.Combined with exact non-differentiable penalty function,a new chaos genetic optimization algorithm is presented.

针对求解一类二层多目标决策问题,首先将其转化为等价的单目标决策问题,然后利用遗传算法优化的反演性和混沌优化方法的遍历性,并结合精确不可微罚函数求解非线性约束优化问题,提出了求解此类问题的混沌遗传算法。

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Nowadays, most of research are to build a transmutative Petri Nets through adding controlling place sets, controlling arc sets and controlling policy to the basic Petri Nets, while the Controlled Petri Nets could be used to argue many controlling theory problems conveniently and to induce many logically and physically supervisory and solve the Event Feedback Controlling Problems and State Feedback Controlling Problem in DEDS supervisory theory.

目前大多数的研究表现为在变形后的受控Petri网基础上,利用各种方法求得各种逻辑型、结构型控制器,解决DEDS监控理论中的事件反馈控制问题与状态反馈控制问题。

On one hand, there are discussions with the works council and union about extension of short time working up to the end of September.

一方面,有讨论,工程理事会和联盟关于延长工作时间短至9月底。

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