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  1. pso toolbox

  2. PSOt, particle swarm optimization toolbox for matlab. May be distributed freely as long as none of the files are modified.

  3. 所属分类：其它

    • 发布日期：2009-09-27
    • 文件大小：760832
    • 提供者：mzq2006

  1. Particle Swarm Optimization (PSO) algorithm For MATLAB

  2. A flexible implementation of PSO algorithm with time-varying parameters. Algorithm is suitable for solving continuous optimization problems. Special care has been taken to enable flexibility of the algorthm with respect to its parameters and to init

  3. 所属分类：Web开发

    • 发布日期：2010-04-28
    • 文件大小：92160
    • 提供者：wyljess

  1. Particle Swarm Optimization- By Maurice Clerc 粒子群优化算法 作者 莫里斯·克莱克

  2. 最近毕设做的是关于PSO的，费了很大的劲才找到这本书～拿出来与大家分享。希望能派得上用场。 喜欢此书记得买正版！:)

  3. 所属分类：其它

    • 发布日期：2010-04-30
    • 文件大小：3145728
    • 提供者：lluffy

  1. A co-evolving framework for robust particle swarm optimization

  2. Particle swarm optimization (PSO) as an efficient and powerful problem-solving strategy has been widely used, but appropriate adjustment of its parameters usually requires a lot of time and labor. So a co-evolving framework is proposed to improve th

  3. 所属分类：硬件开发

    • 发布日期：2010-05-09
    • 文件大小：285696
    • 提供者：ouyangaijia

  1. A discrete particle swarm optimization algorithm for scheduling parallel machines

  2. As a novel evolutionary technique, particle swarm optimization (PSO) has received increasing attention and wide applications in a variety of fields. To our knowledge this paper investigates the first application of PSO algorithm to tackle the parall

  3. 所属分类：硬件开发

    • 发布日期：2010-05-09
    • 文件大小：217088
    • 提供者：ouyangaijia

  1. A dynamic inertia weight particle swarm optimization algorithm

  2. Particle swarm optimization (PSO) algorithm has been developing rapidly and has been applied widely since it was introduced, as it is easily understood and realized. This paper presents an improved particle swarm optimization algorithm (IPSO) to imp

  3. 所属分类：硬件开发

    • 发布日期：2010-05-09
    • 文件大小：472064
    • 提供者：ouyangaijia

  1. A hybrid Particle Swarm Optimization – Simplex algorithm (PSOS) for structural damage identification

  2. This study proposes a new PSOS-model based damage identification procedure using frequency domain data. The formulation of the objective function for the minimization problem is based on the Frequency Response Functions (FRFs) of the system. A novel

  3. 所属分类：硬件开发

    • 发布日期：2010-05-09
    • 文件大小：320512
    • 提供者：ouyangaijia

  1. A hybrid particle swarm optimization–back-propagation algorithm for feedforward neural network training

  2. The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become very slow. On the contrary, the gradient descending method can achieve f

  3. 所属分类：硬件开发

    • 发布日期：2010-05-09
    • 文件大小：209920
    • 提供者：ouyangaijia

  1. A modified particle swarm optimization via particle visual modeling analysis

  2. A particle is treated as a whole individual in all researches on particle swarm optimization (PSO) currently, these are not concerned with the information of every particle's dimensional vector. A visual modeling method describing particle's dimensi

  3. 所属分类：硬件开发

    • 发布日期：2010-05-09
    • 文件大小：806912
    • 提供者：ouyangaijia

  1. Improved PSO Used in the Auto-generating Test Paper Algorithm

  2. In this paper, we analyze the disadvantage of common generating test paper algorithms, an improved Particle Swarm Optimization is proposed and used in Auto-generating Test Paper Algorithm. We design the mathematical model of auto-generating test pap

  3. 所属分类：其它

    • 发布日期：2011-03-10
    • 文件大小：64512
    • 提供者：liuxiang_007

  1. James Kennedy. The Essential Particle Swarm.pdf"

  2. James Kennedy. The Essential Particle Swarm.pdf"James Kennedy. The Essential Particle Swarm.pdf"

  3. 所属分类：其它

    • 发布日期：2011-03-22
    • 文件大小：1048576
    • 提供者：ee44ee

  1. 群粒子优化(Particle Swarm Optimization,PSO)算法介绍

  2. 本课件详细介绍了群粒子优化(Particle Swarm Optimization,PSO)算法的来源，基本模型，算法演化过程及其应用领域。

  3. 所属分类：专业指导

    • 发布日期：2011-05-08
    • 文件大小：4194304
    • 提供者：wangwei10987

  1. Particle Swarm Optimization an Overview

  2. Particle Swarm Optimization(PSO) has undergone many changes since its introduction in 1995. This paper comprises a snapshot of particle swarming from the authors' perpective.

  3. 所属分类：专业指导

    • 发布日期：2011-05-08
    • 文件大小：473088
    • 提供者：wangwei10987

  1. Fuzzy-multi-objective particle swarm optimization

  2. Fuzzy-multi-objective particle swarm optimization for time–cost–quality tradeoff in construction，PSO优化方面的资源

  3. 所属分类：电信

    • 发布日期：2012-07-05
    • 文件大小：419840
    • 提供者：kudzus

  1. 粒子群算法Particle Swarm Optimization (PSO)

  2. 粒子群算法Particle Swarm Optimization (PSO),用于求解解全局优化问题.

  3. 所属分类：C++

    • 发布日期：2012-08-03
    • 文件大小：1024
    • 提供者：cybereus

  1. Particle Swarm (PSO) Toolbox

  2. Particle Swarm Optimization toolkit (with GUI) - Allows you to implement PSO algorithm for optimization of engineering/finance/management systems.

  3. 所属分类：软件测试

    • 发布日期：2012-08-25
    • 文件大小：55296
    • 提供者：bithuhaijing

  1. particle swarm optimization

  2. particle swarm optimization

  3. 所属分类：其它

    • 发布日期：2012-12-01
    • 文件大小：2048
    • 提供者：eric_bobo

  1. 基于matlab的粒子群算法（PSO）工具箱

  2. 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法。PSO 算法属于进化算法的一种，和遗传算法相似，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。压缩文件内附有英文说明书

  3. 所属分类：其它

    • 发布日期：2012-12-05
    • 文件大小：781312
    • 提供者：stoneboy007

  1. 粒子群PSO最优算法

  2. 粒子群PSO最优算法源代码 迭代算法 /* * ===================================================================================== * * Filename: particle.c * * Descr iption: * * Version: 1.0 * Created: 2012年03月17日 15时27分13秒 * Revision: none * Compiler: gcc * * Author: M

  3. 所属分类：C/C++

    • 发布日期：2013-09-04
    • 文件大小：4096
    • 提供者：changchangshen

  1. 基于LM-PSO算法和BP神经网络的非线性预测控制

  2. 针对非线性系统,提出了一种基于BP神经网络的预测控制方法。以BP神经网络建立多步预测模型并预测系统输出值,用LM(Levenberg-Marquardt)算法和PSO(Particle Swarm Optimization)算法组合的混合算法对目标性能指标函数进行滚动优化求解,得到非线性系统的最优控制量;利用误差修正参考输入法实现反馈矫正。通过将粒子群算法引入LM算法,克服了LM算法依赖初值和粒子群算法过早收敛于局部极值的问题,提高了求解的运行速度和精确度。通过对单变量非线性系统仿真实验,证明了

  3. 所属分类：其它

    • 发布日期：2020-06-20
    • 文件大小：265216
    • 提供者：weixin_38621082
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