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
Reza Rostamzadeh‐RenaniEnergy Department, Politecnico di Milano, Via Lambruschini 4, 20156 Milan, ItalyDheyaa J. JasimMohammadreza BaghoolizadehDepartment of Mechanical Engineering, Shahrekord University, Shahrekord 88186-34141, IranMohammad Rostamzadeh‐RenaniEnergy Department, Politecnico di Milano, Via Lambruschini 4, 20156 Milan, ItalyHamid Taheri AndaniDepartment of Electronic Engineering, Isfahan University of Technology, Isfahan, IranSoheil SalahshourDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, LebanonSh. Baghaei⁎Department of mechanical engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, Iran
2023en
ABI
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Cited by 30 references