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Published in:
Introduction to Power Systems Read chapter Read first chapter

2011 | OriginalPaper | Chapter

18. Genetic Algorithm

Author : Marko Čepin

Published in: Assessment of Power System Reliability

Publisher: Springer London

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Abstract

Genetic algorithm is a probabilistic search method founded on the principle of natural selection and genetic recombination. Genetic algorithm represents a powerful method that efficiently uses historical information to evaluate new search points with expected better performance. It is applicable to linear and to nonlinear problems with many local extrema. The advantages and the disadvantages of the genetic algorithm are given. The procedures for performing optimizations are explained. The flowcharts are given together with the genetic algorithm structure descriptions. The steps of the procedures are explained. Further reading of selected references is suggested because it is not possible to present in a short chapter all the features of the method with practical examples.

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previous chapter Dynamic Programming
next chapter Simulated Annealing
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Metadata
Title
Genetic Algorithm
Author
Marko Čepin
Copyright Year
2011
Publisher
Springer London
Book
Assessment of Power System Reliability

Print ISBN: 978-0-85729-687-0

Electronic ISBN: 978-0-85729-688-7

Copyright Year: 2011

DOI
https://doi.org/10.1007/978-0-85729-688-7_18