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A dynamic Gaussian process surrogate model-assisted particle swarm optimisation algorithm for expensive structural optimisation problems

Author(s): (China Energy Engineering Group Guangxi Electric Power Design Institute Co., Ltd., Nanning , China)
(Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, School of Civil and Architecture Engineering, Guangxi University, Nanning, Guangxi, China)
(Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, School of Civil and Architecture Engineering, Guangxi University, Nanning, Guangxi, China)
(China Energy Engineering Group Guangxi Electric Power Design Institute Co., Ltd., Nanning , China)
Medium: journal article
Language(s): English
Published in: European Journal of Environmental and Civil Engineering, , n. 1, v. 27
Page(s): 1-21
DOI: 10.1080/19648189.2022.2049371
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1080/19648189.2022.2049371.
  • About this
    data sheet
  • Reference-ID
    10660557
  • Published on:
    28/03/2022
  • Last updated on:
    20/02/2023
 
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