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

Multimedia tools and applications, 2021-02, Vol.80 (5), p.8091-8126 [Peer Reviewed Journal]

Springer Science+Business Media, LLC, part of Springer Nature 2020 ;Springer Science+Business Media, LLC, part of Springer Nature 2020. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-020-10139-6 ;PMID: 33162782

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  • Title:
    A review on genetic algorithm: past, present, and future
  • Author: Katoch, Sourabh ; Chauhan, Sumit Singh ; Kumar, Vijay
  • Subjects: Computer Communication Networks ; Computer Science ; Data Structures and Information Theory ; Genetic algorithms ; Multimedia Information Systems ; Operators ; Special Purpose and Application-Based Systems
  • Is Part Of: Multimedia tools and applications, 2021-02, Vol.80 (5), p.8091-8126
  • Description: 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 algorithms and their implementation are presented with their pros and cons. The genetic operators and their usages are discussed with the aim of facilitating new researchers. The different research domains involved in genetic algorithms are covered. The future research directions in the area of genetic operators, fitness function and hybrid algorithms are discussed. This structured review will be helpful for research and graduate teaching.
  • Publisher: New York: Springer US
  • Language: English
  • Identifier: ISSN: 1380-7501
    EISSN: 1573-7721
    DOI: 10.1007/s11042-020-10139-6
    PMID: 33162782
  • Source: ProQuest Central
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