查询词典 optimization

A stochastic nonlinear programming model of production with delay interaction (which is a static optimization model to solve the dynamic optimization problem) is built up and transformed into a deterministic nonlinear programming model and further into a linear programming model by adding constraints.

首先根据实际需要建立关联方程有延迟的车间生产的随机非线性规划模型，即一种求解动态优化问题的静态优化模型。

Apply the thought of differential and integral calculus to the problem of global optimization, imitate the algorithm of digital approximation of definite integral and construct a category of algorithms that can solve global optimization with great brevity and utility.

把微积分的基本思想应用到最优化问题中，仿照定积分的数值逼近算法构造出一类简洁实用的全局优化算法-积分选择算法。

Basic ant colony algorithms are intelligentized. Based on the intelligentized algorithms and Matlab, simulation regarding optimization of benzene-toluene flash vaporization process is made. The simulation result shows that the amount of benzene in vapor phase product reaches the maximum on the condition of effective adjustment of temperature, pressure and diffluence coefficient and the production process is optimized. It is also proves that the intelligentized algorithms are practical in optimization of chemical production process.

对基本蚁群算法进行了智能化改进，并运用智能蚁群算法和Matlab语言，对化工生产过程中的实际优化问题，苯-甲苯闪蒸过程进行了优化仿真计算，仿真结果表明，在有效地调整温度、压力及分流系数的条件下，使得汽相产物中苯的产量达到最大，实现了苯－甲苯闪蒸过程的最优化，同时也证明了蚁群算法可以有效地解决化工生产过程中的优化问题。

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。

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

In this paper, no-wait flow shops scheduling problems for a mixed discrete particle swarm optimization, through the establishment of the location of the vector encoding and scheduling program of mapping relations between the continuous particle swarm optimization algorithm is applied to discrete no-wait flow shops scheduling problem.

针对无等待流水线调度问题提出了一种混合离散化粒子群优化算法。通过建立位置矢量编码与调度方案之间的映射关系将连续的粒子群优化算法应用于离散的无等待流水线工件调度问题。

The genetic algorithm is a kind of self-adapting optimization method based on the mechanics of natural selection and evolution. It is appropriate to deal with the discrete and multi-variable combined optimization problem.

遗传算法是一种基于自然选择和进化机制而形成的一种自适应全局优化算法，它非常合适处理离散的、多变量的组合优化问题。

At present, the particle swarm optimization algorithm in a row on the issue has very broad applications, but in the discrete optimization problem is still trying to stage.

详细说明：：目前，粒子群算法在连续问题优化上的应用已经很广泛，然而在离散问题优化方面仍处在尝试阶段。

By defining time span combination, the continuous varying parameter optimization problem is transformed to discrete multi-parameter optimization problem and model is constructed.

引入时段组合的概念，将连续问题转化成离散问题，将变参数优化问题转化成多参数优化问题，建立了相应的数学模型，并给出简化求解的方法。

Optimization design is often used in the design of MRI superconducting main magnet, where all variables are treated as continuous ones. According to the fact that not all variables are continuous, here the design problem is seen as a global optimization problem with discrete variables.

软件简介：在进行MRI超导主磁体的设计时常采用优化设计的方法，将各设计参数看作连续变量处理，但实际上很多参数是离散变量，为了更符合工程实际，将超导MRI 主磁体的设计作为一个含有离散变量的全局优化问题。

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。