Genetic Algorithm: An Overview And View Through The Scope Of Data Science

Research Area: Computer Sciences Authors
Mohamed BENAISSA* Salim KAALDA
Academy of Artificial Intelligence, Faculty of Science RABAT MOROCCO
Artificial Intelligence and Analytics Research Center SHARJAH UNITED ARAB EMIRATES

Abstract
Of all the types of algorithms in existence, some have the particularity of being inspired by the evolution of species in their natural setting. These are genetic algorithms. Species adapt to their living environment, which may evolve; individuals of each species reproduce, creating new individuals; some undergo DNA modifications; some disappear. In this paper, we explore the world of genetic algorithms, highlighting their principle, their mode of use, their relationship with other machine-learning techniques and their place in the world of decision-making characterized by the emergence of data science and data analytics.

Keywords
Artificial Intelligence; Genetic Algorithm; Data Science; Machine Learning; Data-driven; Big Data Analytics; Business Analytics; Optimization; Simulation.

Doi : https://doi.org/10.5281/zenodo.10512516

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Cite
BENAISSA, M., & KAALDA, S. (2023). Genetic Algorithm: An Overview And View Through The Scope Of Data Science. International Journal of Science, Applications and Prosperity, 1(1), 6‑12.

Licence
Copyright @ by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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