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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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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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提出了一种基于反向学习机制的改进量子粒子群算法，采用反向学习机制增加种群的多样性，使搜索效率有了较大的提高，有效地避免了算法早熟收敛。-An improved quantum particle swarm optimization (QPSO) based on reverse
learning is presented in this paper, which adopts reverse learning to increase
the diversity of the popula
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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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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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基于改进 PSO算法的 Otsu快速多阈值图像分割,基于 Renyi 熵与 PSO 算法的图像多级阈值分割-Fast Multilevel Threshold Method for Image Segmentation Based on improved
particle swarm optimization and Maximal Variance,Image multi-thresholding using Renyi entropy and PSO
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使用MATLAB软件实现改进的粒子群寻优的算法。-Using MATLAB software improved particle swarm optimization algorithm.
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基于改进负荷密度法的微网负荷预测_王有春，基于改进粒子群算法的微网环保经济运行的优化_万术来，基于改进型快速寻优算法的微网经济负荷优化_胡龙龙_温向宇_黄焯麒-improved load density law microgrid load forecasting based on _ Wang Youchun, based on improved particle swarm optimization algorithm Microgrid green economy run _ Wan su
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improved particle swarm optimization Based
Load Frequency Control In
A Single Area Power System
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针对传统粒子群优化算法中惯性权重调节机制的局限性，提出一种改进的粒子群优化算法，并应用到目标跟踪领域。-To overcome the limitations of traditional particle swarm optimization inertia weightadjustment mechanism, we proposed an improved particle swarm optimization algorithm appliedto the target tracking
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基于遗传算法和基于粒子群算法的改进近似模型，对比图象和理论-Based on Genetic Algorithm and particle swarm optimization Based on improved approximation model, image contrast and theoretical
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This paper proposes an improved maximum power
point tracking (MPPT) method for the photovoltaic (PV) system
using a modifi ed particle swarm optimization (PSO) algorithm.
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针对感应电机扩展卡尔曼滤波器转速估计中难以取得卡尔曼滤波器系统噪声矩阵和测量噪声矩阵最优值的问题，提出了一种基于改进粒子群算法优化的扩展卡尔曼滤波器转速估计方法。算法通过融合遗传算法和粒子群算法的优点，采用可调整的算法模型对粒子群算法进行改进，将改进的粒子群算法对扩展卡尔曼滤波器中的系统噪声矩阵和测量噪声矩阵进行优化处理，将优化后的卡尔曼滤波器应用于感应电机转速估计。-
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离子群算法示例程序，用于电力系统负荷分配-improved particle swarm optimization algorithm and its application in power system economic load distribution. improved particle swarm optimization algorithm and its application in power system economic load distribution
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