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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Hlavní autoři:	Jiaming Liu, Wenlin Yuan, Yapeng Zhou, Hengyun Zhang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-04-01
Edice:	Batteries
Témata:	liquid cooling plate particle swarm optimization back propagation neural network multi-objective optimization entropy weight–TOPSIS method
On-line přístup:	https://www.mdpi.com/2313-0105/11/4/141
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