Design Optimization of Bionic Liquid Cooling Plate Based on PSO-BP Neural Network Surrogate Model and Multi-Objective Genetic Algorithm

In this study, the particle swarm optimization (PSO) and back propagation neural network (BPNN) surrogate model in combination with a multi-objective genetic algorithm are developed for the design optimization of a bionic liquid cooling plate with a spider-web channel structure. The single-factor se...

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Detalhes bibliográficos

Principais autores:	Jiaming Liu, Wenlin Yuan, Yapeng Zhou, Hengyun Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-04-01
Colecção:	Batteries
Assuntos:	liquid cooling plate particle swarm optimization back propagation neural network multi-objective optimization entropy weight–TOPSIS method
Acesso em linha:	https://www.mdpi.com/2313-0105/11/4/141
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