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Intelligent Decision Technologies 2016 pp 95–105Cite as

Epigenetically Inspired Modification of Genetic Algorithm and His Efficiency on Biological Sequence Alignment

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 57))

Abstract

In this paper the modification of genetic algorithm inspired by the epigenetic process is presented. The results of the efficiency of the proposed modified algorithm are compared with standard genetic algorithm and a tool which does not use evolutionary processes.

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Author information

Authors and Affiliations

  1. Institute of Technology and Mechatronics, University of Silesia, 12, Żytnia St., 41-200, Sosnowiec, Poland

    Kornel Chromiński

  2. Institute of Computer Science, University of Silesia, 39, Bȩdzińska St., 41-200, Sosnowiec, Poland

    Mariusz Boryczka

Authors
  1. Kornel Chromiński
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  2. Mariusz Boryczka
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Corresponding author

Correspondence to Kornel Chromiński .

Editor information

Editors and Affiliations

  1. Gdynia Maritime University, Gdynia, Poland

    Ireneusz Czarnowski

  2. Artificial Intelligence Department, Universidad Politécnica de Madrid, Madrid, Spain

    Alfonso Mateos Caballero

  3. KES International, Shoreham-by-sea, UK

    Robert J. Howlett

  4. University of Canberra, Canberra, Australia

    Lakhmi C. Jain

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© 2016 Springer International Publishing Switzerland

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Chromiński, K., Boryczka, M. (2016). Epigenetically Inspired Modification of Genetic Algorithm and His Efficiency on Biological Sequence Alignment. In: Czarnowski, I., Caballero, A.M., Howlett, R.J., Jain, L.C. (eds) Intelligent Decision Technologies 2016. Smart Innovation, Systems and Technologies, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-39627-9_9

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  • DOI: https://doi.org/10.1007/978-3-319-39627-9_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39626-2

  • Online ISBN: 978-3-319-39627-9

  • eBook Packages: EngineeringEngineering (R0)

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