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Description: 粒子群算法优化函数求解极值的问题。通过该程序我们可以看到粒子群优化算法的优化过程。-Particle Swarm Optimization for Solving Extremum problems. Through this program we can see that PSO optimization process.
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Size: 126976 |
Author: 黄伟锋 |
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Description: 一个PSO的源代码,步骤为先计算原始种群的适应度,及初始化，再迭代，计算适应度。-The source code of a PSO, the steps for the first calculation of the fitness of the original population, and initialization, and then iterate to calculate the fitness.
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Size: 2048 |
Author: 图图 |
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Description: java code for pso which i downloaded from other website, but i think it is very useful for who begins to study pso algorithm.
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Size: 1024 |
Author: michaelwoody |
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Description: 改进的差分PSO算法，Java实行的，有兴趣的可以参考下-PSO algorithm to improve the differential, Java implementation, and are interested can refer to the following
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Size: 77824 |
Author: 小草 |
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Description: 自编的PSO算法，用于求解函数极值非常不错-Self of the PSO algorithm for solving the extreme value function is very good
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Size: 2048 |
Author: shangyanan |
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Description: 多群协同PSO优化算法的WTA问题求解Multi-group cooperative PSO algorithm for solving the WTA problem-Multi-group cooperative PSO algorithm for solving the WTA problem
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Size: 93184 |
Author: hv1230 |
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Description: 本程序是基于粒子群优化算法（PSO）的环形阵列天线方向图的仿真程序-This procedure is based on the ring particle swarm optimization Antenna Array Simulation Program
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Size: 162816 |
Author: 张建安 |
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Description: 由于参数优化的pso算法,对于一维参数和多维参数都可以应用。-this algorithm is used for parameters optimization based on particle swarm optimization algorithm.Multidimensional parameters optimization or one-dimensional opimization parameters all can be used.
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Size: 819200 |
Author: raimose |
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Description: The economic load dispatch plays an important role in the operation of power system,
and several models by using different techniques have been used to solve these problems.
Several traditional approaches, like lambda-iteration and gradient method are utilized to find out
the optimal solution of non-linear problem. More recently, the soft computing techniques have
received more attention and were used in a number of successful and practical applications. The
purpose of this work is to find out the advantages of application of the evolutionary computing
technique and Particle Swarm Optimization (PSO) in particular to the economic load dispatch
problem. Here, an attempt has been made to find out the minimum cost by using PSO using the
data of three and six generating units
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Size: 542720 |
Author: amijeet |
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Description: 标准粒子群算法程序，函数优化，参数优化，可用于PIDNN.-Standard PSO procedure, function optimization, parameter optimization, can be used to PIDNN.
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Size: 6144 |
Author: 彭燕 |
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Description: 基于模糊Havrda_Charv_t熵与混沌PSO算法的红外人体图像分割-Entropy and chaos based on fuzzy Havrda_Charv_t PSO algorithm image segmentation of infrared body
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Size: 662528 |
Author: zixi2000 |
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Description: Hybrid GA & PSO Algorithm
Run the file MainHGAPSO
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Size: 2048 |
Author: Mehdi |
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Description: pso 的实现 应用了c#进行编程 还含有带约束的MATLAB的pso-pso implementation of the application of c# programming with constraints also contains MATLAB-pso
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Size: 393216 |
Author: 季晨 |
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Description: 基于粒子群的改进K均值聚类算法源代码。适用于MATLAB7.1。-Improved PSO-based K means clustering algorithm source code. For MATLAB7.1.
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Size: 2048 |
Author: hsj |
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Description: 解非线性方程快速PSO方法
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Size: 1024 |
Author: lrh |
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Description: 群智能算法pso算法，绝对超值，已测试实用。-matlab about pso program
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Size: 6144 |
Author: 张云亚 |
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Description: 详细给定了模糊PSO模型算法，可以用于matlab工具箱-PSO Fuzzy Modeler for MATLAB
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Size: 204800 |
Author: cathy |
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Description: 通过粒子群算法解决经济调度问题，即确定最低燃料成本和网损。-By running the programs as they are in the default pso folder the economic dispatch problem can be solved. The allocation minimum fuel cost and transmission losses are determined.
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Size: 141312 |
Author: 严达伟 |
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Description: Constriction PSO 代码，测试函数为Rastrigin-Constriction PSO code, test function Rastrigin
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Size: 1024 |
Author: XiaoFei |
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Description: PSO算法简单、易实现且参数较少，现已被应用于函数优化、神经网络训练、模糊系统控制以及其它遗传算法的应用领域-PSO algorithm is simple, easy to implement and less parameters, have been applied to function optimization, neural network training, fuzzy system control and other applications of genetic algorithms
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Size: 216064 |
Author: |
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