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[PDF] Top 20 SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION

Has 10000 "SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION" found on our website. Below are the top 20 most common "SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION".

SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION

SENSOR DEPLOYMENT USING PARTICLE SWARM OPTIMIZATION

... Wireless Sensor Networks (WSN), sensors are randomly deployed in the sensor field which brings the coverage ...of sensor nodes having maximum coverage in the network and the nodes are within the ... See full document

7

Deconvolution of Neutron Degraded Images: Comparative Study between TSVD, Tikhonov Regularization and Particle Swarm Optimization Algorithm

Deconvolution of Neutron Degraded Images: Comparative Study between TSVD, Tikhonov Regularization and Particle Swarm Optimization Algorithm

... The digital neutron image is acquired by a certain radiological procedure such as neutron radiography system, Fig.8, installed around a nuclear reactor. It is a two- dimensional mxn array of non-negative integers (gray ... See full document

7

THD Minimization from H-Bridge Cascaded Multilevel Inverter Using Particle Swarm Optimization Technique

THD Minimization from H-Bridge Cascaded Multilevel Inverter Using Particle Swarm Optimization Technique

... (Particle Swarm Optimization) based technique is proposed to derive optimized switching angles that minimizes the THD (Total Harmonic Distortion) and reduces the effect of selected low order ... See full document

6

A New Particle Swarm Optimization Based Stock Market Prediction Technique

A New Particle Swarm Optimization Based Stock Market Prediction Technique

... The swarm of particles is chosen to represent the initial solutions of the ...Each particle is adjusted during the training step by the way of minimizing the mean square error (MSE) as an objective function ... See full document

6

Association Rule Mining for Both Frequent and Infrequent Items Using Particle Swarm Optimization Algorithm

Association Rule Mining for Both Frequent and Infrequent Items Using Particle Swarm Optimization Algorithm

... Particle swarm optimization algorithm is an evolutionary computational technique where swarm describes the behaviour of ...each particle considers two experiences to modify its current ... See full document

11

NEW BINARY PARTICLE SWARM OPTIMIZATION WITH IMMUNITY-CLONAL ALGORITHM

NEW BINARY PARTICLE SWARM OPTIMIZATION WITH IMMUNITY-CLONAL ALGORITHM

... Artificial Immune System inspired by natural immune system in which the human beings and animals are protected (using antibodies) from intrusions by substance (antigens). Clonal Selection is a type of adaptive ... See full document

9

PSO optimized Feed Forward Neural Network for offline Signature Classification

PSO optimized Feed Forward Neural Network for offline Signature Classification

... purpose optimization method known as Particle Swarm Optimization (PSO) [2] is due to Kennedy, Eberhart and Shi and works by maintaining a swarm of particles that move around in the ... See full document

6

FEATURE DIMENSION REDUCTION FOR EFFICIENT MEDICAL IMAGE RETRIEVAL SYSTEM USING UNIFIED FRAMEWORK

FEATURE DIMENSION REDUCTION FOR EFFICIENT MEDICAL IMAGE RETRIEVAL SYSTEM USING UNIFIED FRAMEWORK

... selected using Gray Level Co-occurrence Matrix (GLCM), Tamura Features (TF) and Gabor Filter (GF) in which pull out of features are formed a feature vector ...feature particle. The Fuzzy based ... See full document

15

Cash balance management: A comparison between genetic algorithms and particle swarm optimization=Gerenciamento do saldo de caixa: uma comparação entre algoritmos genéticos e particle swarm optimization

Cash balance management: A comparison between genetic algorithms and particle swarm optimization=Gerenciamento do saldo de caixa: uma comparação entre algoritmos genéticos e particle swarm optimization

... In this way, the function of cash management has responsibilities such as mobilize, control and plan the financial resources of the companies (SRINIVASAN; KIM, 1986). With this, the use of models to support the ... See full document

7

EXTRUSION DIE PROFILE DESIGN USING SIMULATED ANNEALING ALGORITHM AND PARTICLE SWARM OPTIMIZATION

EXTRUSION DIE PROFILE DESIGN USING SIMULATED ANNEALING ALGORITHM AND PARTICLE SWARM OPTIMIZATION

... Each particle keeps track of its coordinates in the problem space, which are associated with the best solution obtained so ...the particle swarm optimizer, obtained so far by any particle in ... See full document

4

J. Microw. Optoelectron. Electromagn. Appl.  vol.16 número3

J. Microw. Optoelectron. Electromagn. Appl. vol.16 número3

... patterns using the generalized matrix pencil methods has been described in ...pattern using Quantum Particle Swarm Optimization (QPSO) algorithm for synthesis of nonuniformly spaced ... See full document

13

J. Microw. Optoelectron. Electromagn. Appl.  vol.15 número4

J. Microw. Optoelectron. Electromagn. Appl. vol.15 número4

... by using genetic algorithm (GA) and particle swarm (PS) optimization techniques, the objective is to show how this solution can also provide a bandwidth ... See full document

16

LOW COMPLEXITY CONSTRAINTS FOR ENERGY AND PERFORMANCE MANAGEMENT OF HETEROGENEOUS MULTICORE PROCESSORS USING DYNAMIC OPTIMIZATION

LOW COMPLEXITY CONSTRAINTS FOR ENERGY AND PERFORMANCE MANAGEMENT OF HETEROGENEOUS MULTICORE PROCESSORS USING DYNAMIC OPTIMIZATION

... new optimization scheme known as Constraint based Bacterial Foraging Particle Swarm Optimization (CBFPSO) is used for multicore processor ...the optimization algorithm, as the ... See full document

9

Optimizing the Performance Evaluation of Robotic  Arms with the Aid of Particle Swarm Optimization

Optimizing the Performance Evaluation of Robotic Arms with the Aid of Particle Swarm Optimization

... Antagonistic Driven Compliant Joints (ADCJs) are object, drawn substantial attention in current robotics research, representing one of the most extensively applied solutions. This was developed to develop human-like and ... See full document

7

Analysis of Disease Susceptibility Using Particle Swarm Optimization - Time Varying Acceleration to Generate SNP-barcode

Analysis of Disease Susceptibility Using Particle Swarm Optimization - Time Varying Acceleration to Generate SNP-barcode

... developed by Kennedy and Eberhart [14] as an evolutionary computation algorithm that simulates social behavior based on information exchange. In PSO, the solution to the problem can be found in the particles of ... See full document

6

OPTIMIZING LOCALIZATION ROUTE USING PARTICLE SWARM-A GENETIC APPROACH

OPTIMIZING LOCALIZATION ROUTE USING PARTICLE SWARM-A GENETIC APPROACH

... conventional optimization methods PSO-GA has lots of advantages such as it hasn’t special requirements at the form of objective function which makes it have extensive ...the optimization of complex ... See full document

8

Algoritmo Multiswarm Spiral Leader Particle Swarm Optimization para a estimação dos parâmetros PV

Algoritmo Multiswarm Spiral Leader Particle Swarm Optimization para a estimação dos parâmetros PV

... leader particle swarm optimization (M-SLPSO) algorithm to solve the PV parameter identification ...each swarm is guided by a leader with a different spiral ...problem, using both single ... See full document

136

A Discrete Particle Swarm Optimization to Estimate Parameters in Vision Tasks

A Discrete Particle Swarm Optimization to Estimate Parameters in Vision Tasks

... Preprocessing phase consists of improving image quality using filters; we propose a list of tree filters predefined in Matlab: medfilt2, ordfilt2 and wiener2. Medfilt2 is a nonlinear operator called median ... See full document

12

Fuzzy based Color Image Segmentation using Comprehensive Learning Particle Swarm Optimization (CLPSO) - A Design Approach

Fuzzy based Color Image Segmentation using Comprehensive Learning Particle Swarm Optimization (CLPSO) - A Design Approach

... A new method for segmentation of color images using a CLPSO-based fuzzy system was introduced in this paper. A particle of the swarm codes for a set of fuzzy rules. A fitness function rates for the ... See full document

3

Transforming an Existing Distribution Network Into Autonomous MICRO-GRID using particle swarm optimization (Review)

Transforming an Existing Distribution Network Into Autonomous MICRO-GRID using particle swarm optimization (Review)

... and fish schools. As their research progressed, they discovered that with some modifications, their social behavior model can serve as a powerful optimizer. The first version of PSO was intended to handle only nonlinear ... See full document

5

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