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Particle Swarm Optimization Algorithm

EHPSO: An Enhanced Hybrid Particle Swarm Optimization Algorithm for Internet of Things

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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Storage planning of automated pharmacy based on an improved adaptive chaotic particle swarm optimization algorithm

Storage planning of automated pharmacy based on an improved adaptive chaotic particle swarm optimization algorithm

... Intelligent optimization algorithm was a calculate method that was developed by using the various principles and mechanisms of natural phenomena or organism and had the adaptive capacity of the ...

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A Modified Particle Swarm Optimization Algorithm

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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Multi objective Network Reconfiguration of Distribution systems with Distributed Generators

Multi objective Network Reconfiguration of Distribution systems with Distributed Generators

... an algorithm based on modified discrete particle swarm algorithm (MDPSO) and modified particle swarm optimization (MPSO) is proposed to find the optimal network ...

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Moth Dolphin Optimization Algorithm: A Nature Inspired Technique

Moth Dolphin Optimization Algorithm: A Nature Inspired Technique

... inspired optimization algorithm. This algorithm embeds the communication behavior of dolphin to ...moth-dolphin algorithm uses the communication between moths to enhance the ...an ...

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Highly Convergent Particle Swarm Optimization

Highly Convergent Particle Swarm Optimization

... Particle Swarm Optimization algorithm is capable of obtaining a good solution but it is weak at exploration for refining the optimum solution because of less diversity in later ...the ...

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Belief Value Development In Dempster-Shafer With Particle Swarm Optimization(PSO) For Determining Of The Provision On Cases Of Persecution

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

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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Research Progress of Intelligent Optimization Algorithm in Big Data Background

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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AHP COA Combined Algorithm for Selecting a Digital Production
Machine Design

AHP COA Combined Algorithm for Selecting a Digital Production Machine Design

... multi-objective optimization problems: such as Ant Colony algorithm, COA (Cuckoo Algorithm, Genetic algorithm, particle swarm optimization algorithm, fuzzy ...

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Multilevel Thresholding Segmentation based on Otsu’s Method and Autonomous Groups Particle Swarm Optimization for Multispectral Image

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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A Review on Clustering Web data using PSO

A Review on Clustering Web data using PSO

... computational Particle Swarm Optimization algorithm which is efficiently applied to web data clustering and it also provides a comparison between three evolutionary algorithms GA, ACO and ...

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Task Scheduling using Hybrid PSO in cloud based environment

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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Cross-layer Packet-dependant OFDM Scheduling Based on Proportional Fairness

Cross-layer Packet-dependant OFDM Scheduling Based on Proportional Fairness

... fish swarm algorithm, self-adaptive particle swarm optimization algorithm and cloud adaptive particle swarm optimization algorithm into sub-carrier ...

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Comparison of Evolutionary Optimization Techniques for Unconstrained

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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Using Joint Particle Swarm Optimization and Genetic Algorithm for Resource Allocation in TD-LTE Systems

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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A Review on Clustering Analysis based on
Optimization Algorithm for Datamining

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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A REVIEW OF SWARM INTELLIGENCE METAHEURISTICS

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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Study on the optimization algorithm of sediment particle Imshanage

Study on the optimization algorithm of sediment particle Imshanage

... SEDIMENT PARTICLE IMAGE OF CHAOTIC PARTICLE SWARM OPTIMIZATION ALGORITHM The improved particle swarm optimization algorithm of sediment particle image ...

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Optimizing blasting’s air overpressure prediction model using
swarm intelligence

Optimizing blasting’s air overpressure prediction model using swarm intelligence

... Abstract. Air overpressure (AOp) resulting from blasting can cause damage and nuisance to nearby civilians. Thus, it is important to be able to predict AOp accurately. In this study, 8 different Artificial Neural Network ...

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