查询词典 optimization problem

And the design of the optimal reliable guaranteed cost controller is formulated as a convex optimization problem, which can be solved by the existing convex optimization techniques .

在此基础上，通过建立和求解由一组线性矩阵不等式所表示的凸优化问题，得到最优可靠保性能控制律的设计方法。

As a result, it shows thatthe static or dynamic subsystem optimum alone is not equal to the system optimum. Three initial value problems met in the optimal design of flying vehicle are studied andconclusions are derived that: orthogonal test method can be adopted to decide the initial valueof static optimization problem, some mathematical techniques can be used to deal with thecostate variables of Maximum Principle and decide the initial value of the costate variable,the indirect method can be used to get the analytical solution under ideal case to guide thechoice of the initial control curve in the direct method. With some numerical examples oftrajectory optimization, it shows that all these methods are useful not only in accelerating theconvergence but also in converging to the global optimum.

针对飞行器优化设计中的三种初始值问题进行了研究，以远程弹道导弹弹道的工程优化为例说明，对于静态优化问题，采用正交试验法选取初始值，不仅可以大大加快收敛的速度，而且更有可能收敛到全局最优解；以气动力辅助变轨问题为例说明，用共态变量的一阶泰勒级数展开可以解决极大值原理中共态变量初值难于确定的问题；以二级弹道导弹的主动段弹道优化为例说明，利用间接法在理想情况下得到的解析解来指导直接法初始控制曲线的选择，将大大有利于提高直接法的收敛速度。

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。

With IOMFP, the original optimization problem of LSSFP can be transformed into deterministic optimization problems by α—level set of fuzzy numbers, then the interval parameters are employed as coordination variables.

提出了大规模工业过程的智能化目标修正协调法，并给出了基于该方法的满意解定理和证明。

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。

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。

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。

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 split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。