swarm optimization (PSO)
Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
... Particle Swarm Optimization (PSO) algorithm such as Adaptive Particle Swarm Optimization (APSO) and Particle Swarm Optimization with an Aging Leader and Challengers ...
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Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems
... particle swarm optimization (CPSO) is a newly developed optimization technique which combines the benefits of particle swarm optimization (PSO) and the chaotic ...chaotic ...
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Ensemble learning particle swarm optimization for real time UWB indoor localization
... particle swarm optimization is rather extensive; meanwhile, applications of PSO are also deeply penetrating into various domains such as industrial engineering, machinery, communication, and ...jectory ...
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A. Particle Swarm Optimization
... We propose a strategy particle swarm optimization (SPSO) to select tag SNPs. In the tag SNP selection problem, we search for the best SNP combination by increasing the number of tag SNPs. We find that some ...
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PID Controller Optimization for Rotational Inverted Pendulum System Using Particle Swarm Optimization and Differential Evolution Algorithms
... Particle Swarm Optimization (PSO), Constriction Coefficient Particle Swarm Optimization (CPSO) and Differential Evolution (DE) algorithms for determining optimal ...
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Multilevel Thresholding Segmentation based on Otsu’s Method and Autonomous Groups Particle Swarm Optimization for Multispectral Image
... Particle Swarm Optimization (PSO) algorithm combined with the Otsu Method called multilevel thresholding Autonomous Groups Particles Swarm Optimization (MAGPSO) is proposed to reduce the two ...
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Constraint Optimization For Nurse Rostering Using Particle Swarm Optimization With Global Optimum Test Function
... LIST OF ABBREVIATIONS Co-PSO- Constraint Optimization for Nurse Rostering using Particle Swarm Optimization with Global Optimum Test Function PSO- Particle swarm optimization AI- Artific[r] ...
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SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION
... Particle Swarm Optimization (PSO) is a population based stochastic search technique introduced by Kennedy and Eberhart in 1995 [Eberhart ...particle swarm and parallel global random ...(called ...
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EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things
... particle swarm optimization algorithm based on gravitational field interactions was proposed in ...Particle Swarm Optimization algorithm with variable neighborhood search was proposed to solve ...
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Fusion global-local-topology particle swarm optimization for global optimization problems
... particle swarm optimization (AFPSO) [19] was proposed to utilize fuzzy inferences for adjusting acceleration ...particle swarm optimization (APSO) [18] using a real-time evolutionary state ...
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A comprehensive review of swarm optimization algorithms
... various Swarm Intelligence (SI) based approaches and aimed to provide a comparison among the well-known SI-based ...Colony Optimization (ACO), Particle Swarm Optimization (PSO), Differential ...
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A Survey on Economic Load Dispatch Problem Using Particle Swarm Optimization Technique
... particle swarm optimization with the chaotic ...Particle Swarm Optimization (IPSO) combined the PSO algorithm with chaotic sequences ...
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Particle swarm optimization for neural network learning enhancement
... promising optimization ability in various problems, PSO algorithm has been paid more and more attention to by ...Particle Swarm Optimization Feed-forward Neural Network ...Particle Swarm ...
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Particle Swarm Optimization Based LQR Control of an Inverted Pendulum
... particle swarm optimization [17, 18] have been carried out so that the control parameters can be adjusted ...study, optimization of the Linear Quadratic Regulator (LQR) parameters by using Particle ...
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Particle swarm optimization application in optimization
... A multilayer perceptron model of beltline moulding was used to determine the optimal number of hidden units to represent the model and particle swarm optimization was used to minimize th[r] ...
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IJCSMC, Vol. 4, Issue. 5, May 2015, pg.271 – 277 REVIEW ARTICLE A Review on Traffic Route Optimizing by Using Different Swarm Intelligence Algorithm
... Yanfang Deng and Hengqing Tong (2010) proposed a PSO particle swarm optimization [24]. In there work, a hybrid PSO algorithm combined fluid neural network (FNN) to search for the shortest path in stochastic ...
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Comparative Analysis of Meta-Heuristic Algorithms based on their Application Areas in SRGM
... particle swarm optimization techniques the well known particles go from end to end the difficulty space by sub sequencing the existing present best particles, which are also known as potential ...particle ...
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MFS PSO: A Modified PSO Method for Optimizing Gene Selection
... Feature selection is an important technique for identifying informative genes in microarray datasets. In order to select small subset of informative genes from the large datasets various evolutionary methods have been ...
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Optimal Capacitor Allocation in 69-bus Radial Distribution System to Improve Annual Cost Savings for Dynamic Load Sarath Bapu R S S 1, Chandra Prakash V2 , Dr. S.M.Kannan 3
... Particle swarm optimization is a population based stochastic optimization technique developed by ...nonlinear optimization problems with continuous ...
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An Improved Pso Algorithm For Ddos Attack Detection In Wireless Networks
... Particle swarm optimization is based on the concept of particles which are set in motion through packets of information received from the surrounding environment of the node under ...
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