Open AccessGenetic Algorithm: A study survey
Author(s) -
Rewayda razaq Mohsin
Publication year - 2022
Publication title -
iraqi journal of science
Language(s) - English
Resource type - Journals
eISSN - 2312-1637
pISSN - 0067-2904
DOI - 10.24996/ijs.2022.63.3.27
Subject(s) - metaheuristic , genetic algorithm , computer science , population , mathematical optimization , quality (philosophy) , algorithm , machine learning , mathematics , philosophy , epistemology , demography , sociology
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.