A review on genetic algorithm: past, present, and future

In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic algorithms of great interest in research community are selected for analysis. This review will help the new and demanding researchers to provide the wider vision of genetic algorithms. The well-known algor...

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Veröffentlicht in:	Multimedia tools and applications Jg. 80; H. 5; S. 8091 - 8126
Hauptverfasser:	Katoch, Sourabh, Chauhan, Sumit Singh, Kumar, Vijay
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.02.2021 Springer Nature B.V
Schlagworte:	Computer Communication Networks Computer Science Data Structures and Information Theory Genetic algorithms Multimedia Information Systems Operators Special Purpose and Application-Based Systems Metaheuristic Genetic algorithm Selection Evolution Mutation Crossover Optimization
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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