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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
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Medical Diagnosis Using Adaptive Perceptive Particle
Swarm Optimization and Its Hardware Realization
using Field Programmable Gate Array
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i need the matlab coding for pid controller using particle swarm optimization
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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
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MATLAB粒子群算法工具箱求解水电站优化调度问题
-Particle swarm optimization MATLAB toolbox for solving optimal operation of hydropower station
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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
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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
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Program of Particle Swarm Optimization
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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,
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改进的粒子群优化算法在机器人足球中的应用 希望能对研究机器人足球的相关朋友有所帮助-Improved Particle Swarm Optimization Application in Robot Soccer Robot Soccer would like to study the relevant help a friend
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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
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PARTICLE SWARM OPTIMIZATION BASICS
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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.
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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.
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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 abil
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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 Swa
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A PARTICLE SWARM OPTIMIZATION
ALGORITHM BASED ON UNIFORM DESIGN
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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 th
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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-
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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
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