非线性优化

Water deficiency sensitive index; water production function; optimal irrigation schedule; dynamic planning model; non-linear model

农业科技，农业基础科学，农业数学缺水敏感指数；水分生产函数；灌溉制度优化；动态规划模型；非线性规划

Based on initial condition, during certain time span, numerical analysis method of differential equation, algebra iteration and optimization method are used to solve response of generalized system and to analyze stability of generalized system.

从初始条件出发，在一定时间长度上，采用微分方程数值积分法、代数迭代和优化方法来求解系统响应，获得非线性广义系统稳定性的数值分析方法。

The authors propose a new method that is easy to implement in engineering practice, i.e., to identify parameters of excitation model in the form of differential equation by means of nonlinear direct optimization algorithm.

提出了一种新的、工程中容易实现的方法，即利用非线性直接优化法辨识微分方程形式的励磁模型参数。

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

Simple step function, discontinuous function characterized by continuous segments between points of discontinuity and continuous function, and multi--type of components in a redundancy subsystem considered, a mixed integer nonlinear planning model for redundancy and reliability optimization was presented.

考虑子系统中冗余组件的多样性以及可靠性-成本之间可能的三种函数关系，即简单的阶跃函数、连续函数以及分段连续而在分段点不连续的非连续函数，建立了可靠性冗余优化的混合整数非线性规划数学模型，并以实例进行了说明。

The unit commitment is a large scale,discrete and non-linear mixed integer optimization problem.

电力系统机组组合问题是一个高维数、非凸、离散、非线性的混合整数优化问题。

To solve the unit commitment that is a typical non-convex, nonlinear, high-dimensional and discrete optimization problem, a binary adaptive differential evolution algorithm is proposed.

针对机组组合这一典型的非凸、非线性、高维、离散的优化问题，提出了一种二进制自适应微分进化算法。

It is a general framework algorithm, which has fast convergence performance and is easy to implement. PSO can be conveniently applied to solve complicated nonlinear, noncontinuous, multi-dimensioned optimization problem with discrete variables and multiple restrictions.

它收敛速度快、计算简单、通用性强，能方便地被用于求解带离散变量的非线性、不连续、多约束、多变量的复杂优化问题中。

But the intrinsic nonlinearity in substance and energy conversion, addition to the discreteness of process operation, results in many difficulties for optimization of chemical process.

然而物质能量转化过程内在的非线性、以及装置操作中的离散性使得化工过程优化存在诸多困难。

The double dogleg path method, which makes use of the information of Cauch step and Newton step, was proposed by Dennis and Mei.

既约Hesse算法是目前较流行的解决非线性等式约束优化问题的有效方法之一。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。