A dynamic surrogate-assisted evolutionary algorithm framework for expensive structural optimization
Crossref DOI link: https://doi.org/10.1007/s00158-019-02391-8
Published Online: 2019-11-07
Published Print: 2020-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Yu, Mingyuan
Li, Xia
Liang, Jing http://orcid.org/0000-0003-0811-0223
Text and Data Mining valid from 2019-11-07
Version of Record valid from 2019-11-07
Article History
Received: 6 March 2019
Revised: 3 August 2019
Accepted: 13 August 2019
First Online: 7 November 2019
Compliance with ethical standards
:
: The authors declare that they have no conflict of interest.