An Introduction to Genetic Algorithms

Authors

  • Mihai DÎNSOREANU Department of Software Development, S.C. CIEL ROM S.A., Cluj-Napoca

Keywords:

Genetic Algorithm, Chromosome, Gene, Crossover, Mutation.

Abstract

This paper provides a short introduction to Genetic Algorithms (GAs). GAs provide a genuine new approach to solving some problems, having the advantage that the calculus complexity involved in performing the algorithm is completely controllable by the user. Therefore is independent of the “worst case situations”. GAs, for sure, are not a tool for solving every possible problem, but there are some situations in which GAs perform particularly well and some of them are presented in this paper.

How to Cite

1.
DÎNSOREANU M. An Introduction to Genetic Algorithms. Appl Med Inform [Internet]. 2011 Jan. 18 [cited 2025 Jan. 3];1(2):11-8. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/338

Issue

Vol. 1 No. 2 (1995)

Section

Articles

License

 Creative Commons License
All papers published in Applied Medical Informatics are licensed under a Creative Commons Attribution (CC BY 4.0) International License.