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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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Routing and Load balancing in MANET using Particle Swarm Optimization
Abstract
Mobile Ad Hoc Networks (MANET) is a collection of wireless mobile nodes, which dynamically form a temporary network, without using any existing network infra
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Routing and Load balancing in MANET using Particle Swarm Optimization
Abstract
Mobile Ad Hoc Networks (MANET) is a collection of wireless mobile nodes, which dynamically form a temporary network, without using any existing network infra
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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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：针对暖通空调(小，AC)系统，提出一种基于粒子群优化(Pso)算法和最小二乘支持向量机(LSSVM)的预测控
制方法。-: For HVAC (small, AC) system is proposed based on particle swarm optimization (Pso) algorithm and least squares support vector machine (LSSVM) predictive control methods.
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Improved Particle Swarm Optimization Based
Load Frequency Control In
A Single Area Power System
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实现粒子群算法的PID控制功能，针对具体算例得出运行结果-Particle swarm optimization to achieve PID control functions, specific examples drawn operating results
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Particle Swarm Optimization (PSO) Based Turbine Control
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Comparison of Distributed and Centralized control for Partial Shading in PV Parallel Based on Particle Swarm Optimization Algorithm
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粒子群优化（PSO）是一种进化计算技术（进化计算）。
捕食鸟行为的研究。粒子群算法（PSO）的基本思想是通过群体中个体之间的协作和信息共享找到最优解。
粒子群优化算法的优点是它简单且易于实现，没有多个参数。目前，它已广泛应用于函数优化、神经网络训练、模糊系统控制等遗传算法中。(The particle swarm optimization (PSO:Particle swarm optimization) is an evolutionary computing technology (Ev
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针对直流电网中的最优潮流问题，提出了一种基于模糊控制理论的自适应粒子群算法，以实现电网兼顾有功网损和电压质量的优化运行。(To solve optimal power flow problem in DC grid, an adaptive particle swarm optimization (PSO) algorithm based on fuzzy control theory is proposed in this paper, and optimal operation consi
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近红外光谱(NIRS)是一种间接分析技术,其应用需建立相应的校正模型。为了提高模型的解释能力、预测准确度和建模效率,需要对NIRS 进行波长选择,优选最小化冗余信息。选用蚁群优化(ACO)、遗传优化(GA)、粒子群优化(PSO)、随机青蛙(RF)和模拟退火(SA)5 种智能优化算法对烟叶总氮和烟碱近红外光谱数据进行特征波长选择,结合偏最小二乘(PLS)算法,构建了多个烟叶总氮和烟碱的校正模型,(Near infrared spectroscopy (NIRS) is an indirect an
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