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【matlab】 HybridGAPSOCode DL : 0: Hybrid Genetic And PSO Algorithm Code in matlab-Hybrid Genetic And PSO Algorithm Code in matlab
Update : 2024-05-19 Size : 3072 Publisher : rozita
【matlab】 PSO DL : 0: Particle Swarms Optimization
Update : 2024-05-19 Size : 2785280 Publisher : aa
【matlab】 Matlab2010PSOAlgo DL : 0: Variable Neiborhood PSO Algorithm
Update : 2024-05-19 Size : 2048 Publisher : aa
【matlab】 Matlab2010PSOAlgorithm DL : 0: PSO Algorithm matlab
Update : 2024-05-19 Size : 2048 Publisher : aa
【JSP/Java】 PSO_for_java DL : 0: 标准粒子群优化算法（PSO算法）java实现,由yaliang 提供，email：ltq.yaliang@stu.xjtu.edu.cn-PSO for java
Update : 2024-05-19 Size : 1024 Publisher : imaken
【matlab】 mfx_basic_pso_www.matlabsite.com_1 DL : 0: matlab code for pso that make easy way for coding.
Update : 2024-05-19 Size : 9216 Publisher : mbbzz
【matlab】 swarm_optimization-Solve-the-TSP-problem DL : 0: 一个基于粒子群优化算法源码,（PSO）的50个城市TSP问题的求解，可推广至类似NP.-A source code based on particle swarm optimization, (PSO) of the 50 cities TSP problem solving, can be extended to similar NP.
Update : 2024-05-19 Size : 2048 Publisher : 抛弃
【Other】 unit-commitment-with-v2g-using-pso DL : 0: Unitcommitment with V2G
Update : 2024-05-19 Size : 576512 Publisher : Naran Pindoriya
【matlab】 PSO_ DL : 0: PSO算法的实现。寻找搜寻范围内的最优解。-PSO algorithm. Search within to find the optimal solution.
Update : 2024-05-19 Size : 12288 Publisher : wonk
【matlab】 pso DL : 0: 滤波器设计是信号处理的核心问题之一,Matlab软件在多个研究领域都有着广泛的应用。本文介绍了基于Matlab环境下,用窗函数设计法实现FIR数字滤波器的设计,并阐述了与以前人们常用的设计方法的区别,给出了设计实例。仿真结果表明,设计结果的各项性能指标均达到指定要求,且设计过程简便易行。 -The design of filters is a core problem in signal processing. MATLAB software iswidely used inmany research fields. This article introduces themethod ofusingwindow function to design FIR digital filters based onMATLAB and its differences from the tradi- tional designmethods. And itgives a design example. The simulation shows that the design results canmeet the requirements verywell and the design procedure is very simple and practica.l
Update : 2024-05-19 Size : 77824 Publisher : xiaoxiao
【AI-NN-PR】 SVMhybridsystem DL : 0: A distributed PSOSVM hybrid system with feature selection and parameter optimization -Abstract This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to improve the classification accuracy with a small and appropriate feature subset. This optimization mechanism combined the discrete PSO with the continuous-valued PSO to simultaneously optimize the input feature subset selection and the SVM kernel parameter setting. The hybrid PSO–SVM data mining system was implemented via a distributed architecture using the web service technology to reduce the computational time. In a heterogeneous computing environment, the PSO optimization was performed on the application server and the SVM model was trained on the client (agent) computer. The experimental results showed the proposed approach can correctly select the discriminating input features and also achieve high classification accuracy. # 2007 Elsevier B.V. All rights reserved.
Update : 2024-05-19 Size : 565248 Publisher : alice
【matlab】 PSO DL : 0: function for the PSO ALGORITHM
Update : 2024-05-19 Size : 3072 Publisher : rocky
【matlab】 pso DL : 0: a generic particle swarm optimizer
Update : 2024-05-19 Size : 141312 Publisher : rock
【matlab】 logisticsuanfa DL : 0: 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 with the traditional multi-objective optimization of multi-objective optimization method, PSO in solving multi-objective problem has a great advantage. First, PSO is conducive to the efficient search capabilities are more objective sense of the optimal solution Secondly, PSO representative of the entire solution set through the population by way of the inherent parallel search multiple non-inferior solution, and this can easily search for the most number of Pareto optimal solution Furthermore, PSO' s versatility make it suitable for handling all types of objective function and constraints addition, PSO is easy to integrate with the traditional method, and then propose an efficient way to solve specific problems. The PSO itself, in order to better address the multi-objective optimization problems, the need to address the global best particle and the individual selection of the optimal particle
Update : 2024-05-19 Size : 1024 Publisher : 杨科
【AI-NN-PR】 pso DL : 0: 本代码详细介绍了粒子群的应用，是用VC6.0编写的c语言代码，希望能帮助其他人-This code is described in detail the application of PSO, is written in c language code for VC6.0, hoping to help others
Update : 2024-05-19 Size : 2048 Publisher : 李宝泉
【AI-NN-PR】 pso DL : 0: pso基本算法,简单易懂，有明确的注释，迭代快。-pso algorithm, easy to understand, there are notes, iterative fast.
Update : 2024-05-19 Size : 9216 Publisher : 郝刚刚
【matlab】 PSO-GM DL : 0: 微粒群算法结合灰色系统理论进行预测的matlab代码，精确度较高-Particle Swarm Optimization of gray system theory to predict the matlab code, high precision
Update : 2024-05-19 Size : 2048 Publisher : 王孔峰
【AI-NN-PR】 ParticleSwarm_FunctionMinimizing DL : 0: pso algorithm with source code
Update : 2024-05-19 Size : 3715072 Publisher : sonali
【AI-NN-PR】 zonghe DL : 0: 模糊pso控制器优化函数的文章，很不错的，很有参考价值，是英文版的可以作为参考资料。-Fuzzy controller optimization function pso article, very good, good reference is the English version can be used as reference.
Update : 2024-05-19 Size : 4659200 Publisher : jiwei
【matlab】 PSO_BP DL : 1: pso优化BP，非常实用，具有较好的预测能力-pso optimal BP，Very practical, with good predictability
Update : 2024-05-19 Size : 79872 Publisher : 张士

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