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Particle swarm optimization method

Distributed Expansion Planning By Using Particle Swarm Optimization Method

Distributed Expansion Planning By Using Particle Swarm Optimization Method

... improved particle swarm optimization method based on borderline search strategy for transmission network expansion planning”, fifth international conference on machine learning and ...

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Power Transmission Optimization using Particle Swarm Optimization Method – A Review

Power Transmission Optimization using Particle Swarm Optimization Method – A Review

... this paper GNA will be discussed and compared with the results of Genetic Algorithm (GA) as an example of another optimization method. In Reference [21] the main aim is to reduce the Real and Reactive Power ...

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Optimum Design of Homopolar Radial Two-Degree-of-Freedom Hybrid Magnetic Bearing

Optimum Design of Homopolar Radial Two-Degree-of-Freedom Hybrid Magnetic Bearing

... traditional optimization method mainly uses single-objective optimization by finite element software, in which calculation amount is large, and it is difficult to obtain an optimal solution for the ...

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Projection Pursuit Flood Disaster Classification Assessment Method Based on Multi Swarm Cooperative Particle Swarm Optimization

Projection Pursuit Flood Disaster Classification Assessment Method Based on Multi Swarm Cooperative Particle Swarm Optimization

... this method. As an emerging heuristic global optimization algorithm based on swarm intelligence, particle swarm optimization algorithm has the ability of solving complex ...

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A COMPARATIVE STUDY OF ECONOMIC LOAD DISPATCH BY USING GA AND PSO

A COMPARATIVE STUDY OF ECONOMIC LOAD DISPATCH BY USING GA AND PSO

... iteration method and the two main types evolutionary optimization technique genetic algorithm and particle swarm optimization which are generic population based probabilistic search ...

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Solving Economic Load Dispatch Using A Novel Method Based On PSO Algorithm And GAMS Software

Solving Economic Load Dispatch Using A Novel Method Based On PSO Algorithm And GAMS Software

... This method cannot solve large scale problem nor needs a long ...[6-8], particle swarm algorithm [9-12], neural network [13], simulated annealing algorithm [14], bacterial foraging [15], ...

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Research on Parameter Identification Method of Lithium ion Battery Model Based on Particle Swarm Optimization Algorithm

Research on Parameter Identification Method of Lithium ion Battery Model Based on Particle Swarm Optimization Algorithm

... and optimization of the mathematical model of lithium-ion battery, a method of using the particle swarm optimization (PSO) algorithm to optimize the parameters identification is ...

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Fire Fly and Artificial Bees Colony Algorithm for Synthesis of Scanned and Broadside Linear Array Antenna

Fire Fly and Artificial Bees Colony Algorithm for Synthesis of Scanned and Broadside Linear Array Antenna

... colony optimization [10], particle swarm optimization [11–13], invasive weed optimization [14], Taguchi’s optimization method [15, 16], differential evolution [17–19] are ...

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

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

... localization method (NLM) utilizing the relative received signal strength of neighboring nodes to build the finger- print database was set forth in ...gradient method was proposed in ...modified ...

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Adaptive Method of Particle Swarm Optimization for Multimodal Function

Adaptive Method of Particle Swarm Optimization for Multimodal Function

... Multimodal optimization amounts to finding multiple global and local optima (as opposed to a single solution) of a function, so that the user can have a better knowledge about different optimal solutions in the ...

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Optimal Spacecraft Formation Reconfiguration with Collision Avoidance Using Particle Swarm Optimization

Optimal Spacecraft Formation Reconfiguration with Collision Avoidance Using Particle Swarm Optimization

... Carlo simulations with random initial values f or the LPM. The comparison with PSO method is shown in Table 1. The nearest distance refers to the nearest distance between any two spacecraft. Note that the nearest ...

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A. Particle Swarm Optimization

A. Particle Swarm Optimization

... new method that combining strategy particle swarm optimization (SPSO) and Linkage Disequilibrium (LD) to select highly correlated ...The method is demonstrated using the HapMap dataset ...

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Online Full Text

Online Full Text

... mining method to explore customer behavior by assigning the most probable class label to a given ...classification method includes two main ...classification method, which contains time-interval ...

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Proximinally Additive Chebychev Spaces in $L^\phi(\mu,X)$ and $L^p(\mu.X)$, 1\le p

Proximinally Additive Chebychev Spaces in $L^\phi(\mu,X)$ and $L^p(\mu.X)$, 1\le p

... solution(s). Particle Swarm Optimization (PSO) is, now, a standard method of advanced optimization technique and has been empirically shown to perform well on many of these ...

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Fusion global-local-topology particle swarm optimization for global optimization problems

Fusion global-local-topology particle swarm optimization for global optimization problems

... years, particle swarm optimization (PSO) has been extensively applied in various optimization problems because of its structural and implementation ...global-local-topology particle ...

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A DIFFERENTIAL EVOLUTION ALGORITHM PARALLEL IMPLEMENTATION IN A GPU

A DIFFERENTIAL EVOLUTION ALGORITHM PARALLEL IMPLEMENTATION IN A GPU

... process optimization using particle swarm optimization (PSO) ...PSO method is used for production process optimization on Yogyakarta batik ...research optimization is to ...

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Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems

Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems

... In this paper, the CPSO technique is directly applied for optimizing all the modifiable parameters of a RBFNN to act as a feedback controller for nonlinear dynamical systems. Since the CPSO is a derivative-free ...

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A Survey on Economic Load Dispatch Problem Using Particle Swarm Optimization Technique

A Survey on Economic Load Dispatch Problem Using Particle Swarm Optimization Technique

... [10], particle swarm optimization ...This method solves variety of problems of power system due to its simplicity, superior convergence characteristics and high solution ...

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An Efficient Method for using Discrete Shearlet Transform and

An Efficient Method for using Discrete Shearlet Transform and

... takes particle swarm optimization algorithm as the main body and introduces simulated annealing ...of particle swarm optimization algorithm to get over the local minimum points ...

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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

... different method with the problem of low-dimensional ...Otsu method is that computing time increases exponentially according to the number of thresholding ...the Particle Swarm ...

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