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nonlinear optimization相关的网络例句

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与 nonlinear optimization 相关的网络例句 [注:此内容来源于网络,仅供参考]

Nonlinear rescaling methods,based on a class of nonlinear Lagrangians,are important in constrained optimization.

非线性重新尺度化方法是求解约束优化问题的一类重要的算法。

The first-order optimization algorithm was used to optimize and assess the updating parameters. The simulation analysis on an in-service rig derrick was carried out using the linear buckling, geometric nonlinear and double nonlinear methods.

以某型号在役钻机井架为例,利用该方法并结合线性屈曲法、几何非线性法、双重非线性法,对其进行了仿真建模和承载性能仿真分析,确定了该钻机井架的极限承载力、破坏形式及危险部位。

To overcome the shortcomings of existing algorithms, the distributed parallel reactive power optimization algorithm based on sub-area division of the power systems is proposed according to the distributed and decentralized characteristics of the power system. Here, multi-objective function and soft constraints are modeled using fuzzy sets, and the multi-objective reactive power optimization problem is solved by the direct nonlinear primal-dual interior point algorithm.

针对目前无功电压优化算法存在的不足,根据电力系统分布、分散的特点,提出了基于电网分区的分布式并行无功优化算法,并对其进行了多目标、软约束的模糊化处理和离散控制变量的罚函数处理,利用直接非线性原—对偶内点法寻优求解。

P-wave AVO inversion is a complicated constrained nonlinear optimization problem, which is better achieved using global optimization methods.

AVO反演是一个非线性优化问题,因此采用非线性的反演方法,其解空间的性质、状态应优于线性反演方法。

The center coordinates of the n circles can then be obtained. The problem is reduced to a nonlinear constrained optimization problem of finding the minimum circumscribed circle for the n central points through regional optimization.

为求这平面点列的最小包容圆,将问题转化为非线性约束最优化问题,通过分区优化搜索算法求解目标。

This paper presents a new evolutionary algorithm for solving nonlinear constrained optimization problems based on Social Cognitive Optimization.

针对非线性约束优化问题,运用了一种新的智能优化算法——社会认知优化算法。

Considering the characteristics of the operating process optimization for high-temperature cyclic loads a new method was developed to solve the nonlinear optimization problem.

并结合高温循环载荷作用下运行过程优化的特点,提出了一个新的考虑活动约束集的非线性优化求解方法。

You can apply the genetic algorithm to solve a variety of optimization problems that are not well suited for standard optimization algorithms, including problems in which the objective function is discontinuous, nondifferentiable, stochastic, or highly nonlinear.

你可以应用遗传算法来解决一些不适合标准最优化算法的优化问题。这些问题包括:目标函数不连续,不可微分,随机,或者高度非线性

This thesis proposed two methods of particle swarm optimization and genetic algorithm to optimal reactive power dispatch of transmission systems, respectively. The advantage of these methods is to achieve near optimal solution for discrete nonlinear optimization problem. So this thesis simulates the proposed method for IEEE 30-bus power system and a practical Taipower system.

本论文提出应用粒子群优法演算法和基因演算法,并使用电力潮流分析,调度输电系统中的无效功率,而粒子群优演算法和基因演算法,在求解非线性的离散解时,均能达到可能的最佳解,因此本文应用此两种方法对输电系统作最佳无效功率调度,并且使用IEEE 30-bus系统与实际台电系统作测试,比较此两种方法的调度结果。

For solving this problem, optimization techniques have been tried and a nonlinear optimization model has been developed.

本研究应用优化控制的方法,在微机上建立了非线性数学优化模型。

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