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-Reference-Cited by-同舟云学术

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

Published:2024-03 Issue: Volume:38 Page:107709
ISSN:2352-4928
Container-title:Materials Today Communications
language:en
Short-container-title:Materials Today Communications

Author:

Rostamzadeh-Renani Reza,Jasim Dheyaa J.,Baghoolizadeh Mohammadreza,Rostamzadeh-Renani Mohammad,Andani Hamid Taheri,Salahshour Soheil,Baghaei Sh.

Publisher

Elsevier BV

Subject

Materials Chemistry,Mechanics of Materials,General Materials Science

Reference58 articles.

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