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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]

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 parameters of GHM model are determined by nonlinear curve fitting in complex frequency domain. This is converted into nonlinear optimization problem with constrained condition. The corresponding program is completed.

GHM模型的参数通过复频域内的非线性曲线拟合确定,最终转化为具有约束条件的非线性优化问题,并编制了相应的非线性优化程序。

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。

A nonlinear predictive functional control algorithm using Hammerstein models has been developed. The characteristic of this strategy does not need nonlinear optimization that is replaced with linear optimization. Prediction of process output is calculated directly by parameters of model and does not require solving the Diophantine equation.

本文提出了基于Hammerstein模型的非线性预测函数控制,该算法的特点只需进行线性寻优而不需要进行非线性优化,同时过程的预测输出只需应用模型参数直接计算得到而不需要求解Diophantine方程。

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。

The discrete 0-1 programming problem is translated into continuous nonlinear optimization problem by polish function, and the nonlinear optimization problem is solved by contraction algorithm.

3利用过滤函数近似处理连续体拓扑优化问题,使用缩并解法实现了对连续体拓扑优化问题的求解。

Due to the discreteness of transformer taps and the switching of shunt capacitance/reactance banks, the rigorous reactive power optimization is the problem of Mixed-Integer Nonlinear Programming involving both discrete and continuous variables.

在电力系统无功优化过程中,由于有载调压变压器分接头的存在和补偿电容/电抗器分组投切的离散特性,使得严格意义上的无功优化问题成为一个离散变量和连续变量共存的混合整数非线性规划(Mixed-Integer Nonlinear Programming,MINLP)问题。

The robustness of this model is discussed by using the S-system model. And the influences of cell growth rate on the biosynthesis of tryptophan, stability and dynamic behavior of the trp operon are investigated. A steady-state optimization model is established. It maximizes the accumulative term accounting for both consumption and secretion. The nonlinear optimization problem is approximately transformed to a linear optimization problem.

本文对表达阻遏蛋白的基因和表达合成色氨酸关键酶的基因之间相互作用进行了研究,通过模型考察了比生长速率对色氨酸生物合成和系统稳定性的影响,对色氨酸合成过程所涉及到的mRNA、酶等的动态行为进行了理论预测和分析,通过S-系统方程将非线性系统转化为线性系统,研究了系统的鲁棒性,并对色氨酸生产进行了优化。

Since nonlinear problems more accurately describes the phenomena of the nature,thus thispaper considers nonlinear optimization problems and two important classes of nonlinear evolu-tion equations,and neural networks for nonlinear optimization problems is stressfully studied.

由于非线性问题更准确地描述了客观现象,因此本文考虑了非线性优化问题和两类重要的非线性发展方程,突出地研究了非线性优化问题的神经网络。

This paper proposes an Improved Particle Swarm Optimization algorithm.IPSO adopts a new mutation operator and a new method that congregates some neighboring individuals to form multiple sub-populations in order to lead particles to explore new search space.Additionally,this algorithm incorporates a mechanism with a simple and easy penalty function to handle constraint.Thus,this algorithm has strong global exploratory capability and efficiency while being applied to solve nonlinear constrained optimization problems.

提出了一种改进的粒子群算法(Improved Particle Swarm Optimization,IPSO),使用了一种新型的变异策略,并在搜索过程中将部分邻近的个体聚集成核,从而形成多子群引导粒子探测新的搜索区域,采用了简单易行的罚函数约束处理机制,使算法在求解较难的非线性约束优化问题时具有很强的全局搜索能力与效率。

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