Search - particle swarm optimization

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[Industry research] Clerc_seminar_15122004 DL : 0: A mini tutorial about Particle swarm optimization
Date : 2025-12-30 Size : 2.79mb User : nurten
[Industry research] Clerc_seminar_15122004 DL : 0: Particle swarm optimization (PSO) was originally designed and introduced by Eberhart and Kennedy (Ebarhart, Kennedy, 1995 Kennedy, Eberhart, 1995 Ebarhart, Kennedy, 2001). The PSO is a population based search algorithm based on the simulation of the social behavior of birds, bees or a school of fishes. This algorithm originally intends to graphically simulate the graceful and unpredictable choreography of a bird folk. Each individual within the swarm is represented by a vector in multidimensional search space.-Particle swarm optimization (PSO) was originally designed and introduced by Eberhart and Kennedy (Ebarhart, Kennedy, 1995 Kennedy, Eberhart, 1995 Ebarhart, Kennedy, 2001). The PSO is a population based search algorithm based on the simulation of the social behavior of birds, bees or a school of fishes. This algorithm originally intends to graphically simulate the graceful and unpredictable choreography of a bird folk. Each individual within the swarm is represented by a vector in multidimensional search space.
Date : 2025-12-30 Size : 2.95mb User : Beta
[Industry research] AParticle_Swarm_Optimization_(PSO)_Primer DL : 0: one of the most optimization techniques known is the particle swarm optimization tech
Date : 2025-12-30 Size : 708kb User : Amir Salah Hafez
[Industry research] gamin DL : 1: 采用粒子群算法的参数辨识，计算速度更快，参数更准确。-Using particle swarm optimization algorithm parameter identification, computing faster, more accurate parameters.
Date : 2025-12-30 Size : 1kb User : 华水
[Industry research] UNSteoriapriklady DL : 0: That is dicument talkin about network training function that updates weight and bias values according to particle swarm optimization.
Date : 2025-12-30 Size : 657kb User : valso
[Industry research] FuzzySwarmBasedTextSummarization DL : 0: Swarm based text summarization, extraction sentence by using particle swarm optimization
Date : 2025-12-30 Size : 124kb User : zero
[Industry research] Data-clustering-particle-swarm-optimization DL : 0: Data clustering using particle swarm optimization Data clustering using particle swarm optimization
Date : 2025-12-30 Size : 309kb User : a2maridz
[Industry research] 01714200 DL : 0: K-means Algorithm Based on Particle Swarm Optimization Algorithm for Anomaly Intrusion Detection
Date : 2025-12-30 Size : 105kb User : arafatalawy
[Industry research] 1 DL : 0: During the last decade, many variants of the original particle swarm optimization (PSO) algorithm have been proposed. In many cases, the difference between two variants can be seen as an algorithmic component being present in one variant but not in the other. In the first part of the paper, we present the results and insights obtained from a detailed empirical study of several PSO variants from a component difference point of view. In the second part of the paper, we propose a new PSO algorithm that combines a number of algorithmic components that showed distinct advantages in the experimental study concerning optimization speed and reliability. We call this composite algorithm Frankenstein’s PSO in an analogy to the popular character of Mary Shelley’s novel. Frankenstein’s PSO performance evaluation shows that by integrating components in novel ways effective optimizers can be designed.
Date : 2025-12-30 Size : 294kb User : omid
[Industry research] Csharp DL : 0: c sharp particle swarm optimization
Date : 2025-12-30 Size : 24kb User : khushii11
[Industry research] Adaptive-Particle-Swarm-Optimization DL : 0: 我在IEEE下载的文章，关于标准PSO算法改进的，感觉挺经典的一篇文章，希望对大家有好处。-An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented
Date : 2025-12-30 Size : 782kb User : 杨扬
[Industry research] Hybrid_PSO_entropy-15-01247-v2 DL : 0: A Hybrid Chaos-Particle Swarm Optimization Algorithm for the Vehicle Routing Problem with TimeWindow
Date : 2025-12-30 Size : 214kb User : ronan346
[Industry research] A-New-PSO DL : 0: 本文提出了一种新的混合模糊动态速度反馈的粒子群的优化(HFDVF-PSO）解决经济调度问题的非光滑的成本考虑阀点效应和多种燃料选择功能。-This paper proposes a new Hybrid Fuzzy Dynamic Velocity Feedback Particle Swarm Optimization (HFDVF-PSO) for solving conomic Dispatch (ED) problem with non-smooth cost functions considering valve-point effects and multiple fuel options.
Date : 2025-12-30 Size : 432kb User : Junpeng Li
[Industry research] particle-swarm DL : 0: 有关粒子群优化算法的，自己整理！word里含有matlab程序说明-For particle swarm optimization, and organize their own! word description contains matlab program
Date : 2025-12-30 Size : 116kb User : niewei
[Industry research] particle-swarm-optimization DL : 0: 粒子群优化算法，外文的，学习粒子群算法的-PSO, a foreign language, learning PSO
Date : 2025-12-30 Size : 595kb User : wenxiaoqiang
[Industry research] (CLAPSO) DL : 0: A new method to improve the Particle Swarm Optimization using Cellular Learning Automata (CLAPSO)
Date : 2025-12-30 Size : 324kb User : mhfff
[Industry research] Microgrid-optimization-algorithm DL : 0: 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 surgery to, based on improved fast optimization algorithm microgrid economic load optimization _ Hulong Long _ Wenxiang Yu _ Wong Cheuk Yee
Date : 2025-12-30 Size : 4.68mb User : 许正阳
[Industry research] cat-swarm-optimization DL : 0: In this paper, we present a new algorithm of swarm intelligence, namely, Cat Swarm Optimization (CSO). CSO is generated by observing the behaviors of cats, and composed of two sub-models, i.e., tracing mode and seeking mode, which model upon the behaviors of cats. Experimental results using six test functions demonstrate that CSO has much better performance than Particle Swarm Optimization (PSO).
Date : 2025-12-30 Size : 127kb User : txd
[Industry research] A-combination-of-genetic-algorithm-and-particle-s DL : 0: A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems Distributed generation (DG) sources are becoming more prominent in distribution systems due to the incremental demands for electrical energy. Locations and capacities of DG sources have profoundly impacted on the system losses in a distribution network. In this paper, a novel combined genetic algorithm (GA)/particle swarm optimization (PSO) is presented for optimal location and sizing of DG on distribution systems. The objective is to minimize network power losses, better voltage regulation and improve the voltage stability within the frame-work of system operation and security constraints in radial distribution systems. A detailed performance analysis is carried out on 33 and 69 bus systems to demonstrate the effectiveness of the proposed methodology.
Date : 2025-12-30 Size : 522kb User : fifo_enp
[Industry research] Particle Swarm Optimization of an Extended Kalman Filter for speed and rotor flux estimation of an induction motor drive DL : 0: A novel method based on a combination of the Extended Kalman Filter (EKF) with Particle Swarm Optimization (PSO) to estimate the speed and rotor flux of an induction motor driveis presented. The proposed method will be performed in two steps. As a first step, the covariance matrices of state noise and measurement noise will be optimized in an off-line manner by the PSO algorithm. As a second step, the optimal values of the above covariance matrices are injected in our speed-rotor flux estimation loop (on-line).Computer simulations of the speed and rotor-flux estimation have been performed in order to investigate the effectiveness of the proposed method. Simulations and comparison with genetic algorithms (GAs) show that the results are very encouraging and achieve good performances.
Date : 2019-01-08 Size : 650.15kb User : pudn0507@yahoo.fr

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