Search - particle swarm optimization

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[Software Engineering] pso DL : 1: 本程序是关于粒子群优化算法PSO的代码运行环境是vc6.0-This procedure is on the Particle Swarm Optimization PSO code runtime environment is vc6.0
Date : 2025-12-30 Size : 2kb User : bairu
[Software Engineering] PSOt_User_manual DL : 0: 粒子群算法（PSO）源代码工具箱。该工具箱将PSO算法的核心部分封装起来，提供给用户的为算法的可调参数，用户只需要定义好有关参数，即可自行优化。-Particle Swarm Optimization (PSO) source code toolbox. The toolkit will be the core of the PSO algorithm package, and available to users of the adjustable parameters for the algorithm, users only need to define the relevant parameters, can be self-optimizing.
Date : 2025-12-30 Size : 57kb User : 李志
[Software Engineering] PSO_file DL : 0: 有关用粒子群算法ＰＳＯ优化ＲＢＦ网络参数的资料，有一定参考价值-In connection with the Particle Swarm Optimization PSO information RBF network parameters, has a certain reference value
Date : 2025-12-30 Size : 3.43mb User : lily
[Software Engineering] PSO.pdf DL : 0: pso program 附录1、标准微粒群算法源程序附录2、随机微粒群算法程序-pso program in Appendix 1, the standard PSO algorithm source code in Appendix 2, a random particle swarm optimization process
Date : 2025-12-30 Size : 1.93mb User : peter
[Software Engineering] ParticleSwarmOptimization(PSO) DL : 0: 微粒群算法的课程用ptt,内有学习PSO的课用流程,相信想学习的您,不会错过-Particle Swarm Optimization courses with ptt, there are study classes with PSO flow, I believe you want to study, not to miss
Date : 2025-12-30 Size : 149kb User : 蔡立宗
[Software Engineering] optimPID DL : 0: i need the matlab coding for pid controller using particle swarm optimization
Date : 2025-12-30 Size : 42kb User : anandh
[Software Engineering] psocode1 DL : 0: 基本粒子群优化算法（pso算法）包含程序代码和注解-Particle swarm optimization (pso algorithm) contains program code and comments
Date : 2025-12-30 Size : 9kb User : 薛龙
[Software Engineering] b DL : 0: 一种求解Job-Shop调度问题的混合自适应变异粒子群算法 -Solving Job-Shop scheduling problem by hybrid particle swarm optimization with adaptive mutation
Date : 2025-12-30 Size : 130kb User : sunhua
[Software Engineering] pid DL : 0: 基于改进粒子群算法整定的PID网络流量控制研究-Particle swarm optimization based on improved PID tuning of network traffic control
Date : 2025-12-30 Size : 642kb User : sunhua
[Software Engineering] CPSOieee14 DL : 0: 用粒子群算法进行无功优化，比较实用，希望对大家有帮助，14节点的，-Particle swarm algorithm with reactive power optimization, more practical, we want to help, 14 nodes,
Date : 2025-12-30 Size : 5kb User : 王鹏
[Software Engineering] Particle-Swar-Optimization-Simulation-of-Wireless- DL : 0: 粒子群优化的无线传感器网络仿真研究Particle Swarm Optimization Simulation of Wireless Sensor Networks-Particle Swarm Optimization Simulation of Wireless Sensor Networks
Date : 2025-12-30 Size : 126kb User : sala1995
[Software Engineering] Lamb---Particle-Swarm-Optimization-(PSO) DL : 0: PARTICLE SWARM OPTIMIZATION BASICS
Date : 2025-12-30 Size : 373kb User : b t krishna
[Software Engineering] Chaos-particle-algorithm DL : 1: 针对粒子群优化算法稳定性较差和易陷入局部极值的缺点，论文提出了一种新颖的混沌粒子群优化算法。-Particle swarm optimization for the poor stability and ease of getting into local extremum shortcomings, the paper proposes a novel chaotic particle swarm optimization algorithm.
Date : 2025-12-30 Size : 346kb User : 冯浩
[Software Engineering] improved-particle-bionics DL : 0: 针对标准粒子群算法收敛速度慢和易陷入局部最优的局限性，提出了一种基于仿生学改进的粒子群算法。-For standard PSO slow convergence and local optimum limitations proposed based on improved particle swarm optimization bionics.
Date : 2025-12-30 Size : 199kb User : 冯浩
[Software Engineering] Particle-Swarm-Optimization DL : 0: This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detecting multiple minimizers are described. Moreover, results on the ability of the PSO in tackling Multiobjective, Minimax, Integer Programming and 1 errors-in-variables problems, as well as problems in noisy and continuously changing environments, are reported. Finally, a Composite PSO, in which the heuristic parameters of PSO are controlled by a Differential Evolution algorithm during the optimization, is described, and results for many well-known and widely used test functions are given.
Date : 2025-12-30 Size : 423kb User : yangs
[Software Engineering] Particle-Swarm-Optimization DL : 0: 粒子群算法在仿真生物群体社会活动的基础上,通过模拟群体生物相互协同寻优能力,从而构造出一种新的智能优化算法。但粒子群算法本身来源于生物群体现象,其理论基础并不完备。而且由于其属于随机的近似优化算法,主要应用于连续区域,因此该算法存在早熟收敛和对离散性的问题难以应用的缺点。因此,对粒子群算法的理论分析、算法改进及离散性问题的研究具有重要意义的 -The Research of Basic Theory and Improvement on Particle Swarm Optimization
Date : 2025-12-30 Size : 5.33mb User : 李理
[Software Engineering] A-PARTICLE-SWARM-OPTIMIZATION DL : 0: A PARTICLE SWARM OPTIMIZATION ALGORITHM BASED ON UNIFORM DESIGN
Date : 2025-12-30 Size : 171kb User : adel
[Software Engineering] Particle-Swarm-Optimization DL : 0: 本文提出变量随机分解策略，增加关联变量分配到同组的概率，使得算法更好的保留变量间的关联性，并将合作协同进化框架融合到算法中，提出了基于大规模变量分解的多目标粒子群优化算法-In this paper, a stochastic variable decomposition strategy is proposed to increase the probability of assigning related variables to the same group, which makes the algorithm better preserve the correlation between variables. The cooperative co-evolution framework is integrated into the algorithm, and a multi-objective decomposition based on large- Particle swarm optimization algorithm
Date : 2025-12-30 Size : 1.4mb User : 高雪树
[Software Engineering] A-Swarm-Intelligence-Algorithm DL : 0: 联合稀疏恢复的Swarm算法，在基本particle swarm optimization (PSO)算法基础上进行改进-Inspired by particle swarm optimization (PSO) algorithm and some sparse recovery algorithms, a novel swarm intelligence algorithm called M-SISR is proposed to solve the problem. In M-SISR, the initial positions of the swarm are designed using the-thresholding algorithm, and the update strategy is designed using the ideas of PSO and some sparse recovery algorithms. Theoretical analysis shows the good property of the update strategy, and numerical simulations on random Gaussian data illustrate the efficiency of M-SISR.
Date : 2025-12-30 Size : 1.19mb User : bigbigtom
[Software Engineering] Parameter-optimization DL : 0: 针对滚动轴承早期故障特征提取困难的问题，提出一种基于参数优化变分模态分解的轴承早期故障诊断方法。首先利用粒子群优化算法对变分模态分解算法的最佳影响参数组合进行搜索，搜索结束后根据所得结果设定变分模态分解算法的惩罚参数和分量个数，并利用参数优化变分模态分解算法对故障信号进行处理。-Aiming at the difficult problem of early fault feature extraction of rolling bearing, an early fault diagnosis method based on parameter optimization variational modal decomposition is proposed. Firstly, the particle swarm optimization algorithm is used to search the parameters of the variational modal decomposition algorithm. After the search, the penalty parameters and the number of components of the variational modal decomposition algorithm are set according to the obtained results. The modal decomposition algorithm handles the fault signal.
Date : 2025-12-30 Size : 279kb User : 张雪

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