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

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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Bibliographic Details
Main Authors: Jiaming Liu, Wenlin Yuan, Yapeng Zhou, Hengyun Zhang
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Batteries
Subjects:
liquid cooling plate
particle swarm optimization
back propagation neural network
multi-objective optimization
entropy weight–TOPSIS method
Online Access:https://www.mdpi.com/2313-0105/11/4/141
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