Genetic algorithms: theory, genetic operators, solutions, and applications

A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and biological processes of reproduction of the fittest individual. GA is one of the most popular optimization algorithms that is currently employed in a wide range of real applications. Initially, the GA fills t...

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Veröffentlicht in:	Evolutionary intelligence Jg. 17; H. 3; S. 1245 - 1256
Hauptverfasser:	Alhijawi, Bushra, Awajan, Arafat
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2024 Springer Nature B.V
Schlagworte:	Applications of Mathematics Artificial Intelligence Bioinformatics Biological activity Chromosomes Control Engineering Evolutionary algorithms Genes Genetic algorithms Mathematical and Computational Engineering Mechatronics Mutation Operators Optimization Review Article Robotics Search process Statistical Physics and Dynamical Systems GA Evolutionary algorithm Optimization Genetic algorithms Genetic operators
ISSN:	1864-5909, 1864-5917
Online-Zugang:	Volltext
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