An improved scalarization-based dominance evolutionary algorithm for many-objective optimization

Khan, Muhammad Burhan, Hanoun, Samer, Johnstone, Michael, Lim, Chee Peng, Creighton, Douglas and Nahavandi, Saeid 2019, An improved scalarization-based dominance evolutionary algorithm for many-objective optimization, in SysCon 2019 : Proceedings of the 13th Annual IEEE International Systems Conference, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 1-5, doi: 10.1109/SYSCON.2019.8836946.

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Title An improved scalarization-based dominance evolutionary algorithm for many-objective optimization
Author(s) Khan, Muhammad BurhanORCID iD for Khan, Muhammad Burhan orcid.org/0000-0002-1765-935X
Hanoun, SamerORCID iD for Hanoun, Samer orcid.org/0000-0002-8697-1515
Johnstone, MichaelORCID iD for Johnstone, Michael orcid.org/0000-0002-3005-8911
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Creighton, DouglasORCID iD for Creighton, Douglas orcid.org/0000-0002-9217-1231
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Conference name IEEE Systems Council. Conference (13th : 2019 : Orlando, Fla.)
Conference location Orlando, Fla.
Conference dates 2019/04/08 - 2019/04/11
Title of proceedings SysCon 2019 : Proceedings of the 13th Annual IEEE International Systems Conference
Editor(s) [Unknown]
Publication date 2019
Series IEEE Systems Council Conference
Start page 1
End page 5
Total pages 5
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Scalarization
Multi-Objective Optimization
ManyObjective Optimization
Decomposition
Evolutionary Computation
ISBN 9781538683965
Language eng
DOI 10.1109/SYSCON.2019.8836946
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30132017

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