Study on Selection Methods of Parents and Crossover in Genetic Algorithm

Authors

  • Dr. K. Santhi  Associate Professor, Department of Information Technology, Dr.N.G.P Arts and Science College, Coimbatore, Tamilnadu, India.
  • Dr. V. Vinodhini  Professor, Department of Information Technology, Dr.N.G.P Arts and Science College, Coimbatore, Tamilnadu, India

DOI:

https://doi.org//10.32628/CSEIT217256

Keywords:

Genetic Algorithm(GA), Initial Population, Fitness function, Selection of Parents, Crossover, Mutation

Abstract

Genetic Algorithms are the population based search and optimization technique that mimic the process of Genetic and Natural Evolution. Genetic algorithms are very effective way of finding an Optimized solution to a complex problem. Performance of genetic algorithms mainly depends on various factors such as selection of efficient parents and type of genetic operators which involve crossover and mutation operators etc. This paper will help the people to acquire the knowledge about various strategies of selecting parents and description about standard crossover operators.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-04-30

Issue

Volume 7, Issue 2, March-April-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. K. Santhi, Dr. V. Vinodhini, " Study on Selection Methods of Parents and Crossover in Genetic Algorithm, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 2, pp.280-285, March-April-2021. Available at doi : https://doi.org/10.32628/CSEIT217256