Surrogate approximation on bilevel multi follower optimization problems

Islam, Md Monjurul, Ullah, ASSM Barkat, Furhad, Md Hasan and Nazah, Saiba 2020, Surrogate approximation on bilevel multi follower optimization problems, in SSCI 2020 : Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1663-1671, doi: 10.1109/SSCI47803.2020.9308432.

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Title Surrogate approximation on bilevel multi follower optimization problems
Author(s) Islam, Md Monjurul
Ullah, ASSM Barkat
Furhad, Md Hasan
Nazah, Saiba
Conference name IEEE Computational Intelligence Society. Symposium (2020 : Online from Canberra, Australia)
Conference location Online from Canberra, Australia
Conference dates 2020/12/01 - 2020/12/04
Title of proceedings SSCI 2020 : Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence
Editor(s) [Unknown]
Publication date 2020
Series IEEE Computational Intelligence Society Symposium
Start page 1663
End page 1671
Total pages 9
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Upper level
Lower level
Surrogate
Multifollower
Kriging (DACE)
Notes This conference was originally scheduled to be held in Canberra, Australia, however due to the 2020 COVID Pandemic, the event was held online.
ISBN 9781728125473
Language eng
DOI 10.1109/SSCI47803.2020.9308432
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30147916

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