Genetic Algorithm: A study survey | Zendy

Rewayda razaq Mohsin | Zendy

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Genetic 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.

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