A Future Perspective Survey on Bio-inspired algorithms based self-organization techniques for GA

  • Authors

    • Santhoshini Banda
    • U. Sri Lakshmi
    • P. Victer Paul
    2018-09-25
    https://doi.org/10.14419/ijet.v7i4.6.20222
  • genetic algorithm, self-organization, evolutionary computing, bio-inspired, survey

  • Abstract

    Genetic algorithms (GAs) are the most important evolutionary computation technique that is used to solve various complex problems that involve a large search space. To have a performance improvement over GA the concept of Hybrid genetic algorithms that were inspired by the biological behavior of different living beings was put to use to solve the NP-completeness problems. In this paper, a survey on the various recent working HGA with bio-inspired algorithms that exhibits self-organization behavior is performed. This paper discusses the various Biological self-organization behaviors and the generalized self-organization behaviors that are used to solve combinatorial optimization problems. This paper helps the scholars and researchers to have a better understanding on the bio-inspired based self-organization techniques for Genetic algorithm so that they can formulate new algorithms based on existing SO techniques.

     

     

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  • How to Cite

    Banda, S., Sri Lakshmi, U., & Victer Paul, P. (2018). A Future Perspective Survey on Bio-inspired algorithms based self-organization techniques for GA. International Journal of Engineering & Technology, 7(4.6), 4-8. https://doi.org/10.14419/ijet.v7i4.6.20222

    Received date: 2018-09-24

    Accepted date: 2018-09-24

    Published date: 2018-09-25