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[Technology Management] 170 DL : 0: This paper present a new method to determine the optimal tuning of the PID controller parameter of an AVR system using Modified particle swarm optimization (MPSO) algorithm-This paper present a new method to determine the optimal tuning of the PID controller parameter of an AVR system using Modified particle swarm optimization (MPSO) algorithm
Date : 2025-12-27 Size : 463kb User : reznvtb
[Technology Management] logic2010 DL : 0: This article presents particle swarm optimization (PSO)-based optimal gain tuning of proportional integral (PI) speed controller in an induction motor (IM) drive (30 hp) with mine hoist load diagram
Date : 2025-12-27 Size : 719kb User : reznvtb
[Technology Management] paricle-swarm- DL : 0: particle swarm optimization explanation file is present
Date : 2025-12-27 Size : 350kb User : sudarshanreddy
[Technology Management] matlab-code DL : 0: 混合粒子群算法代码及其混合粒子群算法代码大全-Hybrid particle swarm algorithm code and its hybrid particle swarm algorithm code.
Date : 2025-12-27 Size : 405kb User : 张人龙
[Technology Management] Custom-Evaluation DL : 0: 提出一种基于粗糙集与支持向量机的客户动态评估方法。根据客户群特点从当前价值、潜在价值和附加价值三个维度分析并构建客户评估指标，利用指标的年增幅率监测客户价值的变化规律。应用粗糙集布尔推理算法、粒子群算法实现连续属性离散化和知识约简。通过10-重交叉验证和网格搜索技术获取最优惩罚因子与核参数，缩放样本数据集并完成支持向量机一对一分类器的训练与测试。结果表明该评估方法能够实现周期性的客户价值评估与细分，具有很强的泛化能力。- A customer dynamic evaluation method based on rough set and support vector machine is advanced. Customer evaluation indicators are analysed and established from three dimensions of current value, potential value and odditional value according to customer characteristics. The change rules of customer value are observed by annual increasing rate of indicators. Continuous attributes are discretized by rough set and boolean inference arithmetic. Redundant attributes are reduced by particle swarm optimization arithmetic. The optimal penalty factor and nuclear parameter are obtained by 10-cross validation and grid-search. The sample data scaling is carried out and the train and test of svm one against one classifier are accomplished. The result indicates that the evaluation method can not only implement the periodic evaluation and classification of customer value, but also have a better generalization.
Date : 2025-12-27 Size : 264kb User : 夏天
[Technology Management] MODIFIED_MULT DL : 0: 粒子群算法的说明，以及它在解决多目标问题时候的先进性。-Particle Swarm Optimization
Date : 2025-12-27 Size : 302kb User : yueyue
[Technology Management] main DL : 1: 基于粒子群算法的多目标搜索算法，主要解决背包问题，直接运行即可 -Multi-objective particle swarm optimization-based search algorithm, mainly to solve the knapsack problem, can be run directly
Date : 2025-12-27 Size : 1kb User : 李梓晨
[Technology Management] 56566 DL : 0: 采用一种混合骨干微粒群优化算法的感应电机转子断条故障诊断 -Broken Rotor Bar Fault Diagnosis of Induction Motors Using a Hybrid Bare-bones Particle Swarm Optimization Algorithm
Date : 2025-12-27 Size : 822kb User : 王大虎
[Technology Management] Particle-swarm-optimization DL : 0: 粒子群算法（ Particle Swarm Optimization, PSO）最早是由Eberhart和Kennedy于1995年提出，它的基本概念源于对鸟群觅食行为的研究。-Particle swarm optimization (Particle Swarm Optimization, PSO) was first proposed in 1995 by the Eberhart and Kennedy, it stems from the basic concept study foraging behavior of birds.
Date : 2025-12-27 Size : 6.88mb User : wangdan
[Technology Management] Particle_Swarm_Optimization DL : 0: PARTICLE SWARM OPTIMIZATION
Date : 2025-12-27 Size : 3kb User : sathis
[Technology Management] Particle-Swarm-Optimization DL : 0: 水库群调度的粒子群优化原理ppt介绍，包括原理目标函数约束等具体内容-Particle swarm optimization principle reservoir group scheduling ppt presentation, including the principle of objective function constraints specific content
Date : 2025-12-27 Size : 3.91mb User : 舒记
[Technology Management] 06675643 DL : 0: 　提高电源的动态响应　　非线性和复杂的系统是一个转换器　　电力电子的有趣的挑战。摘要介绍了　　设计和实现数字PID控制器使用　　混沌粒子群优化(复)提振　　转换器,提出了自动调优转换器的方法　　最优启动响应。当系统启动时,处理器　　单元分析了开环启动响应转炉和　　在一些迭代使用复准备最佳反应　　算法。使用逻辑映射混沌映射序列　　增加它的收敛速度和精度。模拟　　和实现结果显示提出的效率　　方法-Improving dynamic response of DC-DC converters which are nonlinear and complicate systems is an interesting challenge in power electronics. This paper presents the design and implementation of digital PID controller using the chaotic particle swarm optimization (CPSO) for a Boost converter and proposes an approach for auto tuning converter optimum startup response. When the system starts, processor unit analyses the open loop startup response of converter and prepares optimum response during some iteration using CPSO algorithm. Chaotic mapping using logistic map sequences increases its convergence rate and resulting precision. Simulation and Implementation results show efficiency of proposed approach
Date : 2025-12-27 Size : 427kb User : 闵国旗
[Technology Management] 2012_9_5_1299_1308 DL : 0: Theory for glowworm swarm optimisation.
Date : 2025-12-27 Size : 114kb User : satish
[Technology Management] PSO_OPF DL : 0: PARTICAL SWARM INTELLIGENCE
Date : 2025-12-27 Size : 359kb User : sathish
[Technology Management] CSO DL : 0: Chicken swarm optimization algorithm coding
Date : 2025-12-27 Size : 4kb User : sun
[Technology Management] dg-placement DL : 0: It is code for( 33 bus IEEE data) DG placement code for minimizing a function using particle swarm optimization technique.-It is code for( 33 bus IEEE data) DG placement code for minimizing a function using particle swarm optimization technique.
Date : 2025-12-27 Size : 57kb User : tarq
[Technology Management] FEGAPSO DL : 0: 一种结合遗传算法和粒子群优化算法的高光谱图像分类方法。-Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization
Date : 2025-12-27 Size : 220kb User : DS