The Genetic Algorithm: A study survey

Authors

  • rewayda razaq mohsin academic

DOI:

https://doi.org/10.24996/ijs.2022.63.3.27

Keywords:

Genetic algorithm; Evolutionary algorithm; Selection; Crossover; Mutation; Complexity

Abstract

Genetic Algorithms (GA) is a based population approach. It belongs to a metaheuristic procedure that uses population characteristics to guide the search. It maintains and improves multiple solutions which may produce a high-quality solution to an optimization problem. This study presents a comprehensive survey of the GA. We provide and discuss genetic algorithms for new researchers. We illustrate which components build up the GAs and view the main results on complexity time.

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Published

2022-03-30

How to Cite

mohsin, rewayda razaq. (2022). The Genetic Algorithm: A study survey. Iraqi Journal of Science, 63(3). https://doi.org/10.24996/ijs.2022.63.3.27

Issue

Section

Mathematics