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- 本文件是粒子群算法的完整M文件，内有简要注析-This document is a complete PSO M files, there is a brief note analysis
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- 粒子群算法的程序，和大家共享下，在网上发现的-Particle swarm optimization procedures, and share, in line found
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- 差分粒子群算法的MATLAB程序 差分粒子群算法的MATLAB程序-Differential particle swarm optimization algorithm MATLAB program
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- 计算机仿真用于粒子群算法的程序代码，用MATLAB编程的程序。-Computer simulation for the particle swarm algorithm code, using MATLAB programming procedures.
liziqunsuanfa-faxianlujing
- 搜到的vc++6.0代码,改造了一下基本粒子群，求路径的-Search code to vc++6.0 and transform a little group of elementary particles, find the path
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- 粒子群算法是改进后的智能优化算法，它是模拟鸟类觅食的过程的一种优化算法，采用的压缩miu值得粒子群算法-PSO is improved intelligent optimization algorithm, which is a simulation of birds foraging in the process of an optimization algorithm, using the compression miu worth PSO
LIZIQUNSUANFA
- 对粒子群算法进行研究，并在此基础上求解纳什均衡问题。-Particle swarm algorithm to study, and based on this problem solving Nash equilibrium
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- matlab语言编写的多种粒子群优化算法求极值源代码-matlab multiple languages PSO source code extremum
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- 经典的粒子群算法的程序，很容易学会粒子群算法 -classic Pso，easy to learn
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- 所有的粒子都有一个由被优化的函数决定的适应值(fitness value)，每个粒子还有一个速度决定他们飞翔的方向和距离。然后粒子们就追随当前的最优粒子在解空间中搜索。-All of the particles have a fitness value is determined by the function to be optimized (fitness value) of each particle, there is a speed determine the direction an
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- 粒子群算法，毕业论文，非常详细，程序附在论文里-PSO, thesis, very detailed procedures attached thesis
liziqunsuanfa-matlab
- 粒子群算法基本原理介绍以及例程，内容详细，涵盖面广，辅助入门者加深对算法的理解-The basic principles of particle swarm optimization and routines, detailed and covers a wide range of auxiliary beginners to deepen understanding of the algorithm
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- 关于粒子群算法的一些源程序，对于理解该种智能算法有很大帮助-Particle swarm some source for understanding the kinds of intelligent algorithms are very helpful
liziqunsuanfa-matlab
- 粒子群算法 吐血推荐。欢迎大家一块交流。MATLAB程序实现的。-Particle Swarm recommended blood. Welcome to an exchange. MATLAB perfectly.
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- matlab实现的粒子群算法 -Particle swarm particle swarm algorithm to achieve matlab matlab achieved
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- 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来由J. Kennedy和R. C. Eberhart等[1] 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它
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- 主要编写的粒子群算法及其简单的应用。有需要着可下(The particle swarm algorithm is mainly written and its application is simple. There is a need to go down)
SAPSO
- 模拟退火优化的粒子群算法，主要避免局部最优。(Particle swarm optimization with simulated annealing optimization mainly avoids local optimization)