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      Genetic Algorithm and Application

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      research-article
      Author(s):   1 , , 1 , 1
      Publication date (Electronic preprint):
      Journal: ScienceOpen Preprints
      Publisher: ScienceOpen
      Keywords: Genetic algorithm, GA, Chromosome, Selection, Mutation, Crossover
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            Abstract

            Content

            Author and article information

            Journal
            Title: ScienceOpen Preprints
            Publisher: ScienceOpen
            Publication date (Electronic preprint): 5 December 2023
            Affiliations
            [1 ] Dept of Computer Science California State Polytechnic University, Pomona;;
            Author notes
            Author information
            https://orcid.org/0009-0009-9051-0787
            Article
            DOI: 10.14293/PR2199.000533.v1
            SO-VID: febba62b-5dd6-4f11-9d67-5491373c9021
            License:

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            Date received : 5 December 2023
            Categories

            Data availability: All data generated or analysed during this study are included in this published article (and its supplementary information files).
            ScienceOpen disciplines: Data structures & Algorithms,Computer science,General computer science
            Keywords: Genetic algorithm,GA,Chromosome,Selection,Mutation,Crossover

            References

            1. Mitchell Melanie. An Introduction to Genetic Algorithms. 1998. The MIT Press. [Cross Ref]

            2. Ezziane Zoheir. Artificial Intelligence and DNA ComputingIntelligent Computing Everywhere. p. 195–209. 2007. Springer London. [Cross Ref]

            3. Lemarchand L., Plantec A., Pottier B., Zanati S.. An object-oriented environment for specification and concurrent execution of genetic algorithms. Addendum to the proceedings on Object-oriented programming systems, languages, and applications (Addendum) - OOPSLA '92. 1992. ACM Press. [Cross Ref]

            4. Milenova Boriana. Fuzzy and neural approaches in engineering. Neural Networks. Vol. 10(9):1740–1741. 1997. Elsevier BV. [Cross Ref]

            5. Montaseri Soheila, Zare-Mirakabad Fatemeh, Moghadam-Charkari Nasrollah. RNA-RNA interaction prediction using genetic algorithm. Algorithms for Molecular Biology. Vol. 9(1)2014. Springer Science and Business Media LLC. [Cross Ref]

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