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Classification of Nucleotides Using Memetic Algorithms and Computational Methods

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Progress in Advanced Computing and Intelligent Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1199))

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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.

Rajesh Eswarawaka is a Professor in the Department of Computer Science and Engineering, S. Venkata Suryanarayana is an Associate Professor in the Department of Information Technology and Purnachand Kollapudi is an Associate Professor in the Department of Computer Science and Engineering, Mrutyunjaya S. Yalawar is an Assistant Professor in the Department of Computer Science and Engineering

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Acknowledgments

The authors would like extend their gratitude to Sri T. V. Bala Krishna Murthy for valuable suggestions pertaining to the literature. Murthy is an accomplished educationalist, author, and a good administrator.

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Authors and Affiliations

  1. SREYAS Institute of Engineering and Technology, Hyderabad, India

    Rajesh Eswarawaka

  2. CVR College of Engineering, Hyderabad, India

    S. Venkata Suryanarayana

  3. BV Raju Institute of Technology, Hyderabad, India

    Purnachand Kollapudi

  4. CMR Engineering College, Hyderabad, India

    Mrutyunjaya S. Yalawar

Authors
  1. Rajesh Eswarawaka
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  2. S. Venkata Suryanarayana
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  3. Purnachand Kollapudi
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  4. Mrutyunjaya S. Yalawar
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Corresponding author

Correspondence to Rajesh Eswarawaka .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Rama Devi Women's University, Bhubaneswar, India

    Chhabi Rani Panigrahi

  2. Department of Computer Science, Rama Devi Women's University, Bhubaneswar, India

    Bibudhendu Pati

  3. Department of Computer Science, University of California, Davis, CA, USA

    Prasant Mohapatra

  4. Cloud Computing and Distributed Systems (CLOUDS) Lab, School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

  5. Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

    Kuan-Ching Li

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Cite this paper

Eswarawaka, R., Suryanarayana, S.V., Kollapudi, P., Yalawar, M.S. (2021). Classification of Nucleotides Using Memetic Algorithms and Computational Methods. In: Panigrahi, C.R., Pati, B., Mohapatra, P., Buyya, R., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1199. Springer, Singapore. https://doi.org/10.1007/978-981-15-6353-9_16

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

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6352-2

  • Online ISBN: 978-981-15-6353-9

  • eBook Packages: EngineeringEngineering (R0)

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