Multi-Objective Parameter Optimization of Pulse Tube Refrigerator Based on Kriging Metamodel and Non-Dominated Ranking Genetic Algorithms

Multi-Objective Parameter Optimization of Pulse Tube Refrigerator Based on Kriging Metamodel and Non-Dominated Ranking Genetic Algorithms

Structure parameters have an important influence on the refrigeration performance of pulse tube refrigerators. In this paper, a method combining the Kriging metamodel and Non-Dominated Sorting Genetic Algorithm II (NSGA II) is proposed to optimize the structure of regenerators and pulse tubes to obt...

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Bibliographic Details
Main Authors: Hongxiang Zhao, Wei Shao, Zheng Cui, Chen Zheng
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Energies
Subjects:
pulse tube
Kriging model
NSGA II
multi-objective optimization
heat and mass transfer
Online Access:https://www.mdpi.com/1996-1073/16/6/2736

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