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

 
 
 
  • Abstract
  • Keywords
  • References
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  • 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.

     

     


  • Keywords


    genetic algorithm, self-organization, evolutionary computing, bio-inspired, survey

  • References


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Article ID: 20222
 
DOI: 10.14419/ijet.v7i4.6.20222




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