particle swarm optimization algorithm (PSO)
A Modified Particle Swarm Optimization Algorithm
... modified particle swarm optimization algorithm is proposed in this ...presented algorithm, every particle chooses its inertial factor according to the approaching degree between ...
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Storage planning of automated pharmacy based on an improved adaptive chaotic particle swarm optimization algorithm
... chaotic particle swarm optimization algorithm proposed in the paper got rid of the shortcomings that the PSO was easy to fall into of the local extreme point, while it kept the rapidity in ...
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Harmonic Suppression Method Based on Immune Particle Swarm Optimization Algorithm in Micro Grid
... conventional optimization methods including nonlinear programming method, linear programming method and interior point method; the other is artificial intelligence optimization algorithm, including ...
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EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things
... completion algorithm using a nonlinear conjugate gradient method was proposed in ...localization algorithm was described in [8]. A modified particle swarm optimization algorithm ...
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Optimization of Thermal Aware VLSI Non Slicing Floorplanning Using Hybrid Particle Swarm Optimization Algorithm Harmony Search Algorithm
... ticle Swarm Optimization-Harmony Search (HPSOHS) ...hybrid algorithm employs diversification technique (PSO) to obtain global optima and intensification strategy (HS) to achieve the best solution at ...
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A Review on Clustering Analysis based on Optimization Algorithm for Datamining
... K-mean algorithm is ...K-mean algorithm has some drawback like it will not find the centroid for these the clustering not found proper manner and to remove this drawback used the PSO ...The particle ...
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Multilevel Thresholding Segmentation based on Otsu’s Method and Autonomous Groups Particle Swarm Optimization for Multispectral Image
... modified particle swarm optimization algorithm called MAGPSO is proposed to overcome two problems that arise in solving high ...autonomous particle groups outperform conventional and ...
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Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution
... The Particle Swarm Optimization algorithm is an algorithm with evolutionary computing techniques that is motivated through a set of social ...The algorithm was first introduced ...
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Particle Swarm Optimization Based LQR Control of an Inverted Pendulum
... of Particle Swarm Optimization algorithm is presented for the parameter optimization of a Linear Quadratic Regulator controller designed to stabilization and position control of an ...
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Using Joint Particle Swarm Optimization and Genetic Algorithm for Resource Allocation in TD-LTE Systems
... convex optimization with constraints in this paper, which is proved to be ...joint Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) is ...genetic algorithm and the ...
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Comparison of Evolutionary Optimization Techniques for Unconstrained
... science, optimization refers to the selection of a best element from some set of available ...Evolutionary optimization techniques can be used for getting near optimal solutions of difficult ...
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meta-heuristics (Cat Swarm Optimization CSO, bat algorithm BA and particle swarm optimization PSO) in the portfolio optimization problem. Zhu [9] has presented a meta-heuristic approach to portfolio optimization problem using Particle Swarm Optimization (PSO) technique,
... From Equation 4, we know that is the attractiveness component. When tends to zero, its attraction and brightness are constant, that is, all fireflies are the same attractive, which is essentially a particle ...
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Nature inspired metaheuristic algorithms a comparative review
... different optimization problems ...nature-inspired optimization algorithms are widely used to find better solutions and their best ...as Particle swarm optimization (PSO) ...
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Research Progress of Intelligent Optimization Algorithm in Big Data Background
... genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), Artificial Fish School Algorithm, Bacteria Foraging Optimization Algorithm ...
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Task Scheduling using Hybrid PSO in cloud based environment
... greedy Particle Swarm Optimization (G&PSO) primarily based algorithm to remedy the assignment scheduling ...grasping algorithm to quickly remedy the initial particle cost of ...
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Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
... TPSO algorithm in terms of convergence speed, global optimality and solution accuracy, they are more computational intensive than TPSO ...GPU-TPSO algorithm in all ...APSO algorithm. There are much ...
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Highly Convergent Particle Swarm Optimization
... of Swarm Intelligence Based Algorithms ...the optimization problems by inspiration from ...successful algorithm coming under this class is Particle Swarm Optimization (PSO) [2] ...
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A REVIEW OF SWARM INTELLIGENCE METAHEURISTICS
... Particle swarm optimization algorithm was coined in 1995 by Kennedy and ...continuous optimization problems but some variants are also able to solve discrete problems ...bird ...
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Optimization of Minimum Quantity Liquid Parameters in Turning for the Minimization of Cutting Zone Temperature
... of Particle Swarm Optimization (PSO), Simulated Annealing Algorithm (SAA) and Differential Evolution (DE) for the minimization of cutting zone ...
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Study on the optimization algorithm of sediment particle Imshanage
... a particle, the position and speed are two characteristics of each ...the particle swarm keeps tracking of the two best particles pbest and ...best particle in the particle ...optimal ...
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