Reactive power optimization with artificial bee colony algorithm
INTRODUCTION
Reactive power optimization (RPO) is an important
optimizaton process in terms of voltage stability, voltage
quality and active power loss. The main object function in
RPO is the total active power loss function, but in later
years, systems were analyzed in terms of reactive supply
costs and voltage profile.
Since voltage profile minimizes the deviations between
the nominal and bus voltages, the reactive power
transferred from the bus will decr ....etc

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i want the ppt&material of artificial bee colony optimization
i want the ppt&material of artificial bee colony optimization ....etc

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Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis Karaboga in 2005, motivated by the intelligent behavior of honey bees. It is as simple as Particle Swarm Optimization (PSO) and Differential Evolution (DE) algorithms, and uses only common control parameters such as colony size and maximum cycle number. ABC as an optimization tool, provides a population-based search procedure in which individuals called foods positions are modified by the artificial bees with time and the bee s aim is to discover the places of ....etc

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ECONOMIC LOAD DISPATCH WITH VALVE-POINT EFFECT USING ARTIFICIAL BEE COLONY ALGORITHM



INTRODUCTION
the economic load dispatch is an important real time
problem, in properly allocating the real power demand
among the online generating units. Traditional optimization
techniques such as the lambda iteration method, gradient
method, the linear programming method and Newton s
method are used to solve the ED problem with monotonically
increasing cost function. But they are h ....etc

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how we can use both techniques for face recognition.
how we use gabor filter for feature extraction and artificial bee colony for for feature selection ....etc

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matlab code of artificial bee colony for feature selection

Abstract

This paper offers a hybrid approach that uses the artificial bee colony (ABC) algorithm for feature selection and support vector machines for classification. The purpose of this paper is to test the effect of elimination of the unimportant and obsolete features of the datasets on the success of the classification, using the SVM classifier. The developed approach conventionally used in liver diseases and diabetes diagnostics, which are commonly observed and reduce the quality ....etc

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To get full information or details of R code for artificial bee colony algorithm please have a look on the pages

https://cran.r-projectweb/packages/ABCoptim/ABCoptim.pdf

if you again feel trouble on R code for artificial bee colony algorithm please reply in that page and ask specific fields in R code for artificial bee colony algorithm ....etc

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