Multiobjective and interactive genetic algorithms for weight tuning of a model predictive control-based motion cueing algorithm

Mohammadi, Arash, Asadi, Houshyar, Mohamed, Shady, Nelson, Kyle and Nahavandi, Saeid 2018, Multiobjective and interactive genetic algorithms for weight tuning of a model predictive control-based motion cueing algorithm, IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2018.2845661.

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Title Multiobjective and interactive genetic algorithms for weight tuning of a model predictive control-based motion cueing algorithm
Author(s) Mohammadi, ArashORCID iD for Mohammadi, Arash orcid.org/0000-0001-7634-8212
Asadi, HoushyarORCID iD for Asadi, Houshyar orcid.org/0000-0002-3620-8693
Mohamed, ShadyORCID iD for Mohamed, Shady orcid.org/0000-0002-8851-1635
Nelson, KyleORCID iD for Nelson, Kyle orcid.org/0000-0003-1956-5493
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Journal name IEEE Transactions on Cybernetics
Total pages 11
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2018-06-26
ISSN 2168-2267
2168-2275
Keyword(s) interactive genetic algorithm (GA)
model predictive control (MPC)
motion cueing algorithm (MCA)
multiobjective GA (MO-GA)
tuning
weight selection
Language eng
DOI 10.1109/TCYB.2018.2845661
Field of Research 080110 Simulation and Modelling
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30110952

Document type: Journal Article
Collection: Centre for Intelligent Systems Research
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