The Genetic Algorithm: A study survey
DOI:
https://doi.org/10.24996/ijs.2022.63.3.27Keywords:
Genetic algorithm; Evolutionary algorithm; Selection; Crossover; Mutation; ComplexityAbstract
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.