Abstract

This paper proposes particle swarm optimization (PSO) combined with Lagrange relaxation method (LR) for solving unit commitment (UC). The proposed approach employs PSO algorithm for optimal settings of Lagrange multipliers. The feasibility of the proposed method is demonstrated for 4 and 10-unit systems, respectively. The test results are compared with those obtained by LR, genetic algorithm (GA) and hybrid particle swarm optimization (HPSO) in terms of solution quality. Simulation results show that the proposed method can provide a b ....etc

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Time-dispersive channels can cause intersymbol interference (ISI), a form of distortion that causes symbols to overlap and become indistinguishable by the receiver. For example, in a multipath scattering environment, the receiver sees delayed versions of a symbol transmission, which can interfere with other symbol transmissions. An equalizer attempts to mitigate ISI and improve receiver performance. Communications System Toolbox provides equalization capabilities using one or more Simulink blocks, System objects, or MATLAB functions.

This ....etc

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To get full information or details of a facts device distributed power flow controller please have a look on the pages

http://seminarsprojects.net/Thread-unified-power-flow-controller-full-report

if you again feel trouble on a facts device distributed power flow controller please reply in that page and ask specific fields in a facts device distributed power flow controller ....etc

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To get full information or details of pso code for segmentation matlab please have a look on the pages

http://seminarsprojects.net/Thread-fast-and-cheap-color-image-segmentation-for-interactive-robots?pid=62032

http://seminarsprojects.net/Thread-image-retrieval-using-segmentation

http://seminarsprojects.net/Thread-image-segmentation-using-information-bottleneck-method

if you again feel trouble on pso code for segmentation matlab please reply in that page and ask specific fields in pso code for segmentation matlab ....etc

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Hi.. can I ask for the matlab code for PSO with FCM?? I need to combine between them in matlab but I really don't know how.. I do have one benchmarks function and I need to clusters it.. shall I send the whole file or you can send me a similar file that contain these two algorithms
Mae ....etc

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matlab code forecasting using pso

Abstract

Load forecasting has become a very crucial technique for the efficient functioning of the power system. This paper presents a methodology for the short term load forecasting problem using the similar day concept combined with fuzzy logic approach and particle swarm optimization. To obtain the next-day load forecast, fuzzy logic is used to modify the load curves of the selected similar days of the forecast previous day by generating the correction factors for them. These correction factors are then ap ....etc

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Abstract

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbedparticles, and moving these particles around in the search-space according to simple mathematical formulae over the particle's position and velocity. Each particle's movement is influenced by its local best known position and is also guided toward the b ....etc

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pso algorithm ns2 source code

Abstract
In the conventional mobile ad hoc network (MANET) systems' route rediscovery methods, there exists route failure in all route discovery methods resulting in data loss and communication overheads. Hence, the routing has to be done in accordance with mobility character of the network. In this manuscript, a particle swarm optimization (PSO)-based lifetime prediction algorithm for route recovery in MANET has been proposed. This technique predicts the lifetime of page link and node in the available bandwidth b ....etc

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ALGORITHM FOR PSO:

ALGORITHM FOR PSO:

For each particle
Initialize particle
END

Do
For each particle
Calculate fitness value
If the fitness value is better than the best fitness value (pBest) in history
set current value as the new pBest
End

Choose the particle with the best fitness value of all the particles as the gBest
For each particle
Calculate particle velocity
Update particle position
End
While maximum iterations or minimum error criteria is not attained
First we have to randoml ....etc

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filelist
psosvm
..\Examples
..\..\Classification
..\..\..\iris1v23.mat
..\..\..\iris2v13.mat
..\..\..\iris3v12.mat
..\..\..\linsep.mat
..\..\..\nlinsep.mat
..\..\Regression
..\..\..\example.mat
..\..\..\sinc.mat
..\..\..\titanium.mat
..\Optimiser
..\..\Makefile
..\..\ pr_loqo.c
..\..\ pr_loqo.h
..\..\ qp.c
..\..\qp.dll
..\best.mat
..\ binomial.m
..\cancer_input.mat
..\cancer_output.mat
..\ centrefig.m
..\ Classification_SVM_SteveGunn.asv
..\ Classification_SVM_SteveGunn.m
..\cmap.mat
..\ Contents.m
..\ fx.a ....etc

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