查询词典 optimization

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。

In reliability-based optimization problems of a ship's longitudinal structural design, there are lots of discrete variables and continuous variables. This kind of mixed-discrete non-linear optimization problem containing discrete and continuous variables has long been payed attention to, which is more difficult to solve when a number of reliability constraints are taken into account.

在船舶纵向结构的可靠性优化设计中，含有许多离散型设计变量和连续型设计变量，这种含有两种不同性质设计变量的大型结构物的混和优化问题，一直是人们瞩目的难题，尤其是考虑了多个可靠性约束条件之后，求解这种非线性优化问题就更为困难。

The particle swarm optimization method is applied to NSBM.Firstly the coding approach is designed and then the particles are sequenced using the priority value vectors which make PSO appropriate for the discrete optimization problem.

首先设计了微粒的编码方法；然后采用了基于优先值向量的排序方法对微粒进行解码，有效的利用了微粒群算法在离散优化中的优势；最后利用批调度策略进行分批处理，获得优秀的可行解。

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。