Work

Artificial neural network-assisted multi-objective optimization of perforated counter-flow regenerative evaporative coolers using enhanced NSGA-II

Year: 2025

Type: article

Source: International Journal of Heat and Mass Transfer

DOI: 10.1016/j.ijheatmasstransfer.2025.127719

Authors: Yongcai Li, Chengjun Jing, Siqiang Lv, Jun Wang, Hui Zhang

Institutions: Sichuan University, Southwestern University of Finance and Economics

Language: English

Topic: Adsorption and Cooling Systems

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funder: Sichuan Province Science and Technology Support Program

Award: G4325435776

OpenAlex ID: W4413370548

FWCI: 0.884

Cites: 57

Cited by: 3

Related to: 10