A new decomposition-based evolutionary framework for many-objective optimization

Khan, Burhan, Hanoun, Samer, Johnstone, Michael, Lim, Chee Peng, Creighton, Douglas and Nahavandi, Saeid 2017, A new decomposition-based evolutionary framework for many-objective optimization, in SysCon 2017 : 11th Annual IEEE International Systems Conference, IEEE, Piscataway, N.J., doi: 10.1109/SYSCON.2017.7934774.

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Title A new decomposition-based evolutionary framework for many-objective optimization
Author(s) Khan, BurhanORCID iD for Khan, 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 Annual Internation Systems. Conference (11th : 2017 : Montreal, Canada)
Conference location Montreal, Canada
Conference dates 2017/04/24 - 2017/04/27
Title of proceedings SysCon 2017 : 11th Annual IEEE International Systems Conference
Publication date 2017
Total pages 7
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Computer Science, Theory & Methods
Computer Science
Many-objective Optimization
Pareto-dominance
Decomposition
Penalty-based Boundary Intersection
Evolutionary Computation
ALGORITHMS
SELECTION
ISBN 9781509046232
Language eng
DOI 10.1109/SYSCON.2017.7934774
Indigenous content off
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2017, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30097117

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