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27下载：
PSO优化BP的源程序,加上作者的注释.-BP PSO optimization of the source, together with the author' s comments.
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基于粒子群优化算法（PSO）的50个城市TSP问题的求解，可推广至类似NP-hard问题。-Based on Particle Swarm Optimization (PSO) of the 50 cities TSP problem solving can be extended to a similar NP-hard problem.
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关于粒子群算法的各种应用及当前研究前沿热点。-With regard to various applications of particle swarm optimization algorithm and the frontier of current research hotspot.
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粒子群算法，根据自己需要可以更改里面的参数具体情况自己更改-Particle swarm optimization, in accordance with their needs can change the parameters inside the specific circumstances of their own change
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Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behavior of bird flocking or fish schooling. Each particle keeps track of its coordinates
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这是一个用pso优化SVM中的惩罚参数C和核参数g的MATLAB源码，简单易学-This is an optimization of SVM with the pso in the penalty parameter C and kernel parameter g of the MATLAB source code, easy to learn
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PSO : Particle swarm Optimization with Sphere function
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最新SD期刊上关于改进型PSO算法，我是通过学校内部数据库在SD下载的哦！包括《A dynamic inertia weight particle swarm optimization algorithm》、《Adaptive Particle Swarm Optimization》、《Cyber Swarm Algorithms – Improving particle swarm optimization using adaptive memory strategies》。这三篇都是比较有研
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粒子群优化算法是一种进化优化技术，源于对鸟群扑食的行为，是一种基于迭代的优化工具。此文件提供了基本粒子群算法、带压缩因子的粒子群算法、二阶粒子群算法、二阶振荡粒子群算法、权重改进的粒子群算法、混沌粒子群算法、基于杂交的粒子群算法、基于模拟退火的粒子群算法的MATLAB源代码。-PSO is an evolutionary optimization technique, derived from the behavior of the birds of prey, is based on iter
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对不同噪声强度的加噪图像，用粒子群优化算法优化结构元素，找到最优结构元素，对图像进行去噪操作，使恢复的图像达到最大峰值信噪比-Noise intensity for different images with noise, using particle swarm optimization algorithm to optimize the structure elements, find the optimal structure element, the image de-noising o
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本程序是原始粒子群算法，对一个简单函数的优化，可用来与其他算法功能进行比较。-This procedure is the original particle swarm optimization, a simple function of the optimization function can be used to compare with other algorithms.
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This code expains bayesian particle swarm optimization method.All files have been written on matlab 2007a. This method has been explianed with various benchmark functions. This optimization method can be directly compared with other unconstrained opt
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多目标优化
相对传统多目标优化方法, PSO在求解多目标问题上具有很大优势。首先, PSO的高效搜索能力有利于得到多目标意义下的最优解 其次, PSO通过代表整个解集的种群按内在的并行方式同时搜索多个非劣解,因此容易搜索到多个Pareto 最优解 再则, PSO的通用性使其适合于处理所有类型的目标函数和约束 另外, PSO 很容易与传统方法相结合,进而提出解决特定问题的高效方法。就PSO 本身而言,为了更好地解决多目标优化问题,必须解决全局最优粒子和个体最优粒子的选择问题-Compared
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PSO与GA混合优化算法，可实现比单纯使用PSO或者GA算法更好的优化效果-PSO and GA hybrid optimization algorithm, can achieve more than a simple algorithm using PSO or GA optimization results better
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Global Optimization Toolbox provides methods that search for global solutions to problems that contain multiple
maxima or minima. It includes global search, multistart, pattern search, genetic algorithm, and simulated
annealing solvers. You can u
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A Binary Particle Swarm Optimization for Optimal Placement and Sizing
of Capacitor Banks in Radial Distribution Feeders with Distorted
Substation Voltages
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A Binary Particle Swarm Optimization for Optimal Placement and Sizing
of Capacitor Banks in Radial Distribution Feeders with Distorted
Substation Voltages
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particle swarm optimization with matlab,finish the problem about to find the highest point of texture.
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带交叉因子的粒子群优化算法matlab源程序-Cross-factor with particle swarm optimization algorithm matlab source
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In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population
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