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A Genetic Algorithm approach for Optimization Problems

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Author Affiliations

  • 1Department of Mathematics & Statistics, J.N. Agricultural University, Jabalpur, MP, India
  • 2Computer Science and Engineering, Government Autonomous College, Satna, MP, India
  • 3Comptroller Office, J.N. Agricultural University, Jabalpur, MP, India

Res. J. Mathematical & Statistical Sci., Volume 13, Issue (3), Pages 14-19, September,12 (2025)

Abstract

This paper is concerned with a genetic algorithm approach for optimization problems considering an equality whose coefficients are chosen in such a way that they would represent the bits of genetic algorithms for minimization including six chromosomes of length three applying the operator cross over and mutation while a cubic function has been considered for maximization. In both cases, the fitness value of the population seems to be adequate and found satisfactorily well at least in one generation. These have been illustrated with two numerical examples added at the end.

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