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蚁群算法在数值方法中的应用以及求解最优化函数的极值问题-Ant group arithmetic application in numerical value method and solving extremum problem of optimization function.
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这是一个基本的粒子群最佳化算法,解决单目标数值优化问题。-This is a basic particle swarm optimization algorithm to solve single-objective numerical optimization problems.
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一种参数自由调整的粒子群最佳化算法(数值优化)-A free to adjust the parameters of particle swarm optimization algorithm (numerical optimization)
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本教程以6.0版为基础,从高等工科院校的数学课程出发,提供了使用MATLAB的实践性指导。本教程以教学的手段,系统详细地介绍了MATLAB在高等数学、数值分析、函数作图、线性代数、概率统计和优化理论中的应用,并配备了大量的例题,让读者能很快掌握MATLAB的运算技巧。-This tutorial to version 6.0, based on engineering colleges from the mathematics curriculum, the use of MATLAB to p
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百度之星08年的一道题目,我用数值优化算法实现了最大值问题。-Baidu Star in 2008 together with the topic, I used the numerical optimization algorithm to achieve the maximum problem.
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GSL is the GNU scientific library for numerical computing. It is a collection of routines for numerical computing in e.g. linear algebra, probability, random number generation, statistics, differentiation, integration, optimization, and differential
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AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
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采取邻接矩阵的搜索算法实现了对图的着色,是一种数值优化算法-Adjacency matrix to a search algorithm for graph coloring, is a numerical optimization algorithm
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粒子群算法进行数值试验的程序,可作为基础学习所用-Particle swarm optimization numerical test procedure can be used as a basis for learning
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Tinger FDTD 是一款基于 FDTD 算法的二维全矢量电磁场数值模拟软件,可应用于光电、微波、电磁等器件及一般光学器件的仿真、设计优化和教学,也可用于光子晶体和特异材料等现代光子学的研究。利用该软件的数值模拟功能,弥补了无法进行实验验证的缺陷。该软件具有广泛的平台通用性,可以在 Windows、linux、嵌入式 Linux 等平台中运行。并具有友好的图形化界面,为软件使用者提供方便。Tinger FDTD完美支持简体中文和英文,并可以动态切换语言。 -Tinger FDTD algor
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基于群体搜索的遗传算法求解多目标优化问题具有独特的优势,多目标优化算法已有的研究大多为
算法的设计和数值实验效果的比较,理论研究则很少,本文作者给出了一种求解多目标优化问题的新遗传算法
(RMOGA) ,并用Markov 链的理论对RMOGA 的收敛性进行了研究,其结果表明RMOGA 依概率收敛到问题的
Pareto 前沿面-Population-based genetic algorithm search for multi-objective optimization probl
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A more demanding class of optimization problems stems from general maximum likelihood estimation. As long as the likelihood function can be considered as being globally convex, efficient numerical methods are available to solve the optimization probl
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改进的最速梯度下降法,优于数值优化,matlab实现-Improved the speed gradient descent method, which is higher than that of numerical optimization
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BACKTRACING SEARCH OPTIMIZATION ALGORTIHM PROPOSED FOR NUMERICAL OPTIMIZATION PROBLEMS, IMPLEMENTED IN MATLAB, FAST, SIMPLE, EFFICIENT
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最优化最速下降方法,利用了非精确步长搜索 armijo、Wolfe方式,并利用两个算例进行演示-Optimization of steepest descent method, using the inexact search step length armijo, Wolfe method, and the use of two examples for demonstration
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蒙特卡罗方法(Monte Carlo method),也称统计模拟方法,是二十世纪四十年代中期由于科学技术的发展和电子计算机的发明,而被提出的一种以概率统计理论为指导的一类非常重要的数值计算方法。是指使用随机数(或更常见的伪随机数)来解决很多计算问题的方法。-Monte Carlo methods (or Monte Carlo experiments) are a broad class of computational algorithms that rely on repeated ran
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有CDF三角函数曲线/三维曲线图,数值分析的EULER法,LCMV优化设计阵列处理信号。- There CDF trigonometric curve/3D graphs, EULER numerical analysis method, LCMV optimization design array signal processing.
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In computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs.
This algorithm is a member of the a
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DEPSO, or called DEPS, is an algorithm for (constrained) numerical optimization problem (NOP). DEPSO combines the advantages of Particle Swarm Optimization (PSO) and Differential Evolution (DE). It is incorporated into cooperative group optimization
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用遗传算法DE算法求解数值优化问题,实现了一个函数(Solving numerical optimization problems with DE algorithm)
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