A federated data-driven evolutionary algorithm for expensive multi-/many-objective optimization
Crossref DOI link: https://doi.org/10.1007/s40747-021-00506-7
Published Online: 2021-08-24
Published Print: 2021-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Xu, Jinjin
Jin, Yaochu http://orcid.org/0000-0003-1100-0631
Du, Wenli
Text and Data Mining valid from 2021-08-24
Version of Record valid from 2021-08-24
Article History
Received: 21 June 2021
Accepted: 11 August 2021
First Online: 24 August 2021
Declarations
:
: The authors declare that they have no conflict of interest.