Intelligent design of high-performance fluids for thermal management: integrating response surface methodology, weighted Tchebycheff method, and strength Pareto evolutionary algorithm II

Abstract Optimizing nanofluid thermophysical properties (TPPs) is essential for advancing heat transfer applications; however, most studies focus on two-objective optimization, limiting their real-world applicability. This study presents a novel multi-objective optimization framework integrating res...

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Principais autores:	Mohamed Bechir Ben Hamida, Ali Basem, Neeraj Varshney, Loghman Mostafa
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-07-01
coleção:	Scientific Reports
Assuntos:	Hybrid nanofluid Response surface methodology Multi-objective optimization Strength Pareto evolutionary algorithm II Enhanced hill climbing algorithm Weighted Tchebycheff method
Acesso em linha:	https://doi.org/10.1038/s41598-025-07132-0
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