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      Fitness–Distance Balance based adaptive guided differential evolution algorithm for security-constrained optimal power flow problem incorporating renewable energy sources

      Author(s): , , , ,
      Publication date Created:
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      Journal: Applied Soft Computing
      Publisher: Elsevier BV

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          :{unav)

          Rainer Storn, Kenneth Price (1997)
          Journal of Global Optimization, 11(4), 341-359
          Article 0 comments Cited 858 times – based on 0 reviews     Review now
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            A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

            Joaquín Derrac, Salvador García-García, Daniel Molina … (2011)
            Article 0 comments Cited 789 times – based on 0 reviews     Review now
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              A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm

              Alireza Askarzadeh (2016)
              Article 0 comments Cited 356 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Hamdi Tolga Kahraman: (View ORCID Profile)
                Journal
                Title: Applied Soft Computing
                Abbreviated Title: Applied Soft Computing
                Publisher: Elsevier BV
                ISSN (Print): 15684946
                Publication date Created: September 2021
                Publication date (Print): September 2021
                Volume: 108
                Page: 107421
                Article
                DOI: 10.1016/j.asoc.2021.107421
                SO-VID: 2ee49c45-e8a2-4d1f-b060-95daeac8ffa7
                Copyright © © 2021
                License:

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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