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粒子群算法的简介，并说明了原理，便于理解和使用，希望有所帮助-Particle Swarm Optimization
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Minimum Bit Error Rate Multiuser Detection for
OFDM-SDMA Using Particle Swarm Optimization
Habib ur Rehman1, Imran Zaka1, Muhammad Naeem2, Syed Ismail Shah3 ,
and Jamil Ahmad3
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PSO同遗传算法类似，是一种基于迭代的优化算法-PSO is similar with the genetic algorithm is an iterative optimization algorithm based on
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差别算法matlab代码（differential algorithm）及粒子群算法的介绍-Difference algorithm matlab code (differential algorithm) and the introduction of particle swarm optimization
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Particle Swarm Optimization
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A Modified Particle Swarm Optimization Algorithm
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A Simple Particle Swarm Optimization Combined
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这是一篇关于采用粒子群算法的电力系统多目标无功优化的电容补偿研究的IEEE论文。-Determination of Capacity Benefi t Margin
in Multiarea Power Systems Using
Particle Swarm Optimization。
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particle swarm optimization method
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particle swarm optimization method
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基本的粒子群算法程序，很好的程序 ，用matlab编写的-The basic particle swarm optimization procedure, a good program, written using matlab
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Particle swarm optimization for function optimization
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针对火电厂循环水加酸控制系统存在控制系统对象难以建立、非线性和时变的特性，采用了改进的粒子群优化
算法优化PID参数，使得控制器可在不同环境温度下采用不同的PID参数．实际运行结果表明，该系统能够克服环境温
度带来的干扰，使循环水pH值被控制在给定值范围内．-Water plus acid control system for thermal power plant control system exists object is difficult to establish, nonli
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PID performance optimization using particle swarm optimization method .pdf
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This study uses an empirical study of the
efficiency of Particle swarm optimization (PSO) in
segmentation of brain abnormalities. Presently,
segmentation poses one of the most challenging
problems in medical imaging. Segmentation of
Magneti
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documents Particle Swarm Optimization
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Abstract A particle swarm optimization method with nonlinear
time-varying evolution (PSO-NTVE) is employed in
designing an optimal PID controller for asymptotic stabilization
of a pendubot system. In the PSO-NTVE method,
parameters are determ
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Comparative Study on Distributed Generator Sizing Using Three Types of Particle
Swarm Optimization
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Improved Particle Swarm Optimization Based
Load Frequency Control In
A Single Area Power System
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A Particle Swarm Optimization (PSO) Primer
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