查询词典 discrete optimization

In accordance with discrete, non-symmetry and time-delay feedback neural networks, we provide some theoretical criteria to judge the stability for designing the networks. On continuous feedback networks, we built an algorithm to estimate the convergence region. On the HNN feedback networks, an effective optimization algorithm based on the annealing strategy and the chaotic neural network is presented, and some disciplinary conclusions are provided to guide the selection of parameters. Simulation results on benchmark problems demonstrate that the performances of our algorithm are distinctly superior to those of the classic HNN based on gradient descend and stochastic optimization methods based on probabilistic distribution.

针对离散、非对称和时延等三种类型的动态反馈网络，给出了可用于网络设计的稳定性判别准则；针对连续动态反馈网络，建立了其收敛域估计的一个算法；针对以HNN模型描述的动态反馈网络，基于退火策略和混沌神经网络提出了一种高效的优化算法，建立了可用于指导参数选择的一些规律性结论，对典型算例的仿真研究显示，改进算法在各类性能上相对基于梯度下降的传统HNN模型和基于概率分布的随机优化算法，具有明显的优越性。

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。

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。

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。

Compared with the common optimization design, the mixed discrete variable optimization method has been widely used in the area of machine design.

在机械优化设计中，混合离散变量优化方法得到了广泛的应用，具有较高的工程应用价值。

A discrete particle swarm optimization algorithm for the collusion problem is also presented based on the optimization model proposed.

在此基础上，提出了基于离散粒子群算法的无线传感器网络共谋问题优化方法。

With the RNA secondary structure prediction and the characteristics of particle swarm optimization,a new model of discrete particle swarm optimization is presented.

根据RNA二级结构预测问题实质和基本粒子群优化算法特性，提出一种离散粒子群优化算法模型。

SA is a stochastic optimization technique that has been used to solve continuous, order discrete and muti-modal optimization problems.

模拟退火算法是一种用于解决连续、有序离散和多模态优化问题的随机优化技术。

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。

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。