swarm optimization
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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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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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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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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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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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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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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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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Particle Swarm Optimization Based LQR Control of an Inverted Pendulum
... Particle Swarm Optimization algorithm is presented for the parameter optimization of a Linear Quadratic Regulator controller designed to stabilization and position control of an inverted ...Particle ...
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A Survey on Economic Load Dispatch Problem Using Particle Swarm Optimization Technique
... Conventional methods have simple mathematical model and high search speed but they are failed to solve such problem because they have the drawbacks of Multiple local minimum points in the cost function, Algorithms ...
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Particle swarm optimization for neural network learning enhancement
... the Swarm Intelligence technique called Particle Swarm Optimization is employed to see the convergence speed and the classification accuracy of feedforward neural network ...Particle Swarm ...
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Rule Discovery for Binary Classification Problem using ACO based Antminer
... and Swarm based approaches like Particle Swarm Optimization (PSO) and Ant Colonies Optimization (ACO) were used in solving many data mining problems and currently the most prominent choice in ...
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A Review on Clustering Web data using PSO
... Particle Swarm Optimization (PSO) uses the concept of social interaction for problem ...and optimization problems. In PSO, a swarm of number of individuals communicates either directly or ...
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Study on the optimization algorithm of sediment particle Imshanage
... particle swarm optimization algorithm updating, seeing vi(t) as a whole, directly update from the Xi (T) to Xi ...particle swarm algorithm, the time complexity of the improved O (d) ...particle ...
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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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Personal Best Cuckoo Search Algorithm for Global Optimization
... Real-life optimization problems demand robust algorithms that perform efficient search in the environment without trapping in local optimal ...these optimization algorithms, which is inspired by ...particle ...
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