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2021 | OriginalPaper | Chapter

Classification of Nucleotides Using Memetic Algorithms and Computational Methods

Authors : Rajesh Eswarawaka, S. Venkata Suryanarayana, Purnachand Kollapudi, Mrutyunjaya S. Yalawar

Published in: Progress in Advanced Computing and Intelligent Engineering

Publisher: Springer Singapore

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Abstract

This paper presents an approach to solve an optimization problem using clustering by genetic algorithm approach. The central idea is to form clusters of patients’ nucleotide data sets. The genetic algorithm is applied to this initial cluster population. The fitness function for the genetic algorithm is calculated using intra-cluster and inter-cluster distances. Later genetic crossover functions are applied. This procedure is iterated until the stopping condition is reached. The superiority of this algorithm lies in comparing the performance with Ant Colony Optimization and simulated annealing algorithms.

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Metadata
Title
Classification of Nucleotides Using Memetic Algorithms and Computational Methods
Authors
Rajesh Eswarawaka
S. Venkata Suryanarayana
Purnachand Kollapudi
Mrutyunjaya S. Yalawar
Copyright Year
2021
Publisher
Springer Singapore
Book
Progress in Advanced Computing and Intelligent Engineering

Print ISBN: 978-981-15-6352-2

Electronic ISBN: 978-981-15-6353-9

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-6353-9_16