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[Industry research] AFSA DL : 0: 人工鱼群算法是一种近年来提出的组合优化问题，该算法在收敛速度方面有明显的优势。并在现实的各个方面都已经开始应用。 -Artificial fish-swarm algorithm is a combinatorial optimization in recent years raised the issue in the convergence speed of the algorithm has an obvious advantage. And in reality, all aspects of the application has begun.
Date : 2025-12-27 Size : 245kb User : 张
[Industry research] Clerc_seminar_15122004 DL : 0: A mini tutorial about Particle swarm optimization
Date : 2025-12-27 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 : 2025-12-27 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 : 2025-12-27 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 : 2025-12-27 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 : 2025-12-27 Size : 657kb User : valso
[Industry research] FuzzySwarmBasedTextSummarization DL : 0: Swarm based text summarization, extraction sentence by using particle swarm optimization
Date : 2025-12-27 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 : 2025-12-27 Size : 309kb User : a2maridz
[Industry research] 01714200 DL : 0: K-means Algorithm Based on Particle Swarm Optimization Algorithm for Anomaly Intrusion Detection
Date : 2025-12-27 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 : 2025-12-27 Size : 294kb User : omid
[Industry research] Csharp DL : 0: c sharp particle swarm optimization
Date : 2025-12-27 Size : 24kb User : khushii11
[Industry research] A-discussion-for-complex-systems DL : 0: 复杂系统研究方法的讨论，基于Agent的建模，Swarm与StarLogo的比较分析-A discussion onmethodologies for research into complex systems，Agen-t based models，Swarm，StarLogo
Date : 2025-12-27 Size : 221kb User : jiafangfang
[Industry research] simple_svpwm DL : 0: dfig swarm optimisation technique
Date : 2025-12-27 Size : 13kb User : pandu
[Industry research] hybrid-GAaPSO.pdf.tar DL : 0: Novel hybrid genetic algorithm & particle swarm opitimization
Date : 2025-12-27 Size : 960kb User : tuantuatut
[Industry research] Video-coding-Technique-using-Swarm-Intelligence.r DL : 0: 2010 Second International Conference on Machine Learning and Computing
Date : 2025-12-27 Size : 253kb User : abusabah
[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 : 2025-12-27 Size : 782kb User : 杨扬
[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 : 2025-12-27 Size : 116kb User : niewei
[Industry research] swarm-optimization-algorithm- DL : 0: 子群优化算法，并把次算法用于求解旅行商问题．为了增强算法的局部搜索能力，在改进的算法中加入倒置，局部搜索等方法，同时利用遗传算法的全局搜索能力强的特点对求到的解再进行优化，同时，对于搜索全局最优路径方面，通过应用消除交叉路径的方法进行了优化．-Sub swarm optimization algorithm, and the second algorithm is used to solve the traveling salesman problem. In order to enhance the local search capability, adding inverted improved algorithm, local search and other methods, while taking advantage of genetic algorithm characteristics of strong global search capability to find the solution for further optimization, while the global optimal path for search terms through the application of the method to eliminate cross paths optimized.
Date : 2025-12-27 Size : 559kb User : 燕子
[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 : 2025-12-27 Size : 127kb User : txd
[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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