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      Multi-objective optimization of rheological behavior of nanofluids containing CuO nanoparticles by NSGA II, MOPSO, and MOGWO evolutionary algorithms and group method of data handling artificial neural networks

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          Grey Wolf Optimizer

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            A fast and elitist multiobjective genetic algorithm: NSGA-II

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              Conceptions for heat transfer correlation of nanofluids

                Author and article information

                Journal
                Materials Today Communications
                Materials Today Communications
                Elsevier BV
                23524928
                March 2024
                March 2024
                : 38
                : 107709
                Article
                10.1016/j.mtcomm.2023.107709
                de75cb1f-c83c-46cf-b662-d3c357f4f05d
                © 2024

                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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