Search - particle swarm optimization

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[Other resource] 粒子群优化算法介绍 DL : 0: 粒子群优化算法介绍,PSO(Particle Swarm Optimization)-PSO algorithm, the PSO (Particle Swarm Optimization)
Date : 2008-10-13 Size : 149.85kb User : 原野
[Other resource] cw1 DL : 0: 此程序为训练RBF网权值的量子粒子群优化算法，供各位参考-this program for training RBF net weights Quantum Particle Swarm Optimization Algorithm for reference
Date : 2008-10-13 Size : 1.92kb User : jhon
[Other resource] 多维函数优化程序 DL : 0: 用JAVA语言编写，包括PSO（Particle swarm optimization, 中文译名为粒子群优化或微粒群算法), DE (Differential evolution, 中文译名为差分进化或差异演化)等算法，有一些不带约束和带约束的算例（如Michelawicz的几个问题）。使用说明见usage.txt、RUNExample.bat和程序中的注释。 -with Java language, including the PSO (Particle swarm optimization, the Chinese translation of PSO or PSO algorithm), DE (Differential evolution, the Chinese translation of the difference or differential evolution evolution) algorithm, a number of non-binding and binding with the examples (such as the several issues Michelawicz ). Use see usage.txt, RUNExample.bat and procedures of the Notes.
Date : 2008-10-13 Size : 63.79kb User : 刘三
[Other resource] Demo PSO DL : 1: 粒子群优化算法(pso）的源程序。包括基本粒子群算法的程序及其在优化函数方面的应用。-Particle Swarm Optimization (PSO) of the source. Groups including the elementary particles algorithm optimization process and its function in the application.
Date : 2008-10-13 Size : 5.23kb User : 周正
[Other resource] SPSOOptimize DL : 0: 微粒群算法，c语言编写，通过优化，可以自己添加测试函数-particle swarm algorithm, c language, through optimization, can add their own function testing
Date : 2008-10-13 Size : 1.88kb User : 雪肤
[Other resource] PSOt DL : 0: 智能优化算法：粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可。程序来自：Brian Birge NCSU-intelligent optimization algorithms : Particle Swarm Optimization (PSO) used neural network optimization procedures. Divided into hidden layer, a hidden layer, hidden layer. DemoTrainPSO.m can run. Proceedings from : Brian Birge NCSU
Date : 2008-10-13 Size : 759.79kb User : 王光辉
[Other resource] Cheap_PSO DL : 0: C语言开发的微粒群优化算法源程序，程序用到了多个测试函数：包括Rosenbrock 函数等，操作时首先打开文件选择一个函数，然后点击计算就可以了。-C language development Particle Swarm Optimization algorithm source, a number of procedures used test functions : Functions include Rosenbrock, the first operation of a choice open file function, Then click on the calculation.
Date : 2008-10-13 Size : 76.02kb User : zhangtao
[Other resource] psotb-alpha-0.2 DL : 0: PSO（Padicle Swarm Optimization）微粒群优化算法，工具箱。-PSO (Padicle Swarm Optimization) Particle Swarm Optimization Algorithm toolbox.
Date : 2008-10-13 Size : 53.69kb User : 王子良
[Other resource] jswarm-pso_1_1 DL : 0: JSwarn 是微粒群优化(PSO) 程序包被写在Java. 设计要求极小的工作成绩使用(在配件箱外面) 虽然同样高模件。 -JSwarn Particle Swarm Optimization (PSO) package written in Java. The minimum design requirements of the Public results for the use (in the outside box accessories) Although the same high module.
Date : 2008-10-13 Size : 155.28kb User : 王子良
[Other resource] original_PSO DL : 0: 利用基本粒子群优化算法，使用matlab工具，求解Rastrigrin函数。-using particle swarm optimization algorithm, the use of Matlab tool Solving Rastrigrin function.
Date : 2008-10-13 Size : 1.31kb User : 杨志鹏
[Other resource] HybridParticleSwarmOptimization DL : 0: A hybrid Particle Swarm Optimization algorithm for functions in the real space. -Particle Swarm Optimization algo rithm for functions in the real space.
Date : 2008-10-13 Size : 3.92kb User : wei
[Other resource] pso-powerflow DL : 1: 基于matlab的基本粒子群优化算法，可应用与最优潮流计算等-Matlab-based optimization of the particle swarm algorithm can be applied with optimal power flow calculation
Date : 2008-10-13 Size : 1.87kb User : milan
[Other resource] CDAPSO DL : 1: 一种新的随机优化技术:基于群落动态分配的粒子群优化算法(Community Dynamic Assignation-based Particle Swarm Optimization,CDAPSO)。新算法通过动态改变粒子群体的组织结构和分配特征来维持寻优过程中启发信息的多样性,从而使其全局收搜索能力得到了显著提高,并且能够有效避免早熟收敛问题。-a new stochastic optimization techniques : Community-based dynamic allocation of PSO algorithm (Dynamic Community Assigna tion-based Particle Swarm Optimization, CDAPSO). New Algorithm for dynamic change particle group's organizational structure and distribution to maintain the optimization process enlightening information diversity, thus the overall admission search capability has been significantly improved, and can effectively prevent premature convergence.
Date : 2008-10-13 Size : 6.59kb User : wuyuqian
[Other resource] psotb-alpha-0.2 DL : 0: particle swarm optimization toolbox (matlab)
Date : 2008-10-13 Size : 53.96kb User : sg
[Other resource] pso_Methods_for_Pattern_Recognition_and_Image_Proc DL : 0: A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the performance effectively. structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreversible evolution process with better fitness. The testing of two multimodal functions indicates it improves the performance effectively.
Date : 2008-10-13 Size : 5.68mb User : sky
[Other resource] Swarm_Intelligent_Systems DL : 1: 非常好的优化算法的书，详细介绍了蚁群算法和粒子群算法以及相关的matlab工具箱，讲了理论和应用给出了工具箱的下载地址。 Swarm intelligence is an innovative computational way to solve hard problems. In particular, particle swarm optimization, also commonly known as PSO, mimics the behavior of a swarm of insects or a school of fish. If one of the particle discovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensional space that have two characteristics: a position and a velocity. These particles wander around the hyperspace and remember the best position that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions.
Date : 2008-10-13 Size : 5.7mb User : dh
[Other resource] NETWORK4 DL : 0: Application of particle swarm optimization (PSO) to single-snapshot direction of arrival (DOA) estimation
Date : 2008-10-13 Size : 153.07kb User : 叶子
[Other resource] MyPSO DL : 0: //开发平台：Microsoft .NET Framework 2.0，Microsoft Visual C# 2005 Express //日期：2005.3.12 //作者：刘波 //粒子群优化算法(PSO)：本算法求目标函数的最小值-/ / development platforms : Microsoft.NET Framework 2.0, Microsoft Visual C# 2005 Express / / Date : 2005.3.12 / / Author : Liu Bo / / Particle Swarm Optimization (PSO) : The algorithm for the minimum objective function
Date : 2008-10-13 Size : 11.66kb User : 剑胆琴心
[Other resource] clusters DL : 1: 协同微粒群算法，用于原子簇的结构优化。协同微粒群算法模型由南非人Frans van den Bergh提出，对高维问题处理的效果要显著优于基本微粒群算法。-synergies PSO algorithm, for the cluster of structural optimization. Synergy PSO algorithm model from South Africa who Frans van den Bergh, for the high-dimensional problems of the effect was significantly better than the basic particle swarm algorithm.
Date : 2008-10-13 Size : 2.28kb User : 陈超
[Other resource] 差别算法matlab源码 DL : 0: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross - (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications
Date : 2008-10-13 Size : 16.24kb User : 张正