Survey Of Genetic Algorithm Approach In Machine Learning

Survey Of Genetic Algorithm Approach In Machine Learning

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2020 by IJETT Journal
Volume-68 Issue-2
Year of Publication : 2020
Authors : Jayakumar Sadhasivam, Senthil Jayavel, Arpit Rathore
DOI :  10.14445/22315381/IJETT-V68I2P218S

Citation 

MLA Style: Jayakumar Sadhasivam, Senthil Jayavel, Arpit Rathore  "Survey Of Genetic Algorithm Approach In Machine Learning" International Journal of Engineering Trends and Technology 68.2 (2020):115-133.

APA Style:Jayakumar Sadhasivam, Senthil Jayavel, Arpit Rathore. Survey Of Genetic Algorithm Approach In Machine Learning  International Journal of Engineering Trends and Technology, 68(2),115-133.

Abstract
The optimization of the proposed algorithm is nowadays mandatory to achieve the above the roof results. The Genetic algorithm is providing the elastic and versatile way to optimizing the natural parameters for the proposed system/ algorithms or already existing systems. As the technology keeps on increasing so the data volume and other various inherences also keep increasing. To achieve high accuracy level from versatile domains like computer vision, classical machine learning, deep learning,and reinforcement learning.In this research paper, the literature survey encompasses fifty research papers to analysis the previous work which is done using the genetic algorithm from the year 2014-2018. This will help us to get a broad insight into the usage of the genetic algorithm and its applications in the different domains.

Reference

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Keywords
Genetic algorithm ,Machine Learning