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Multiobjective optimisation of heat exchangers using evolutionary algorithms

Khosravi, Rihanna 2017, Multiobjective optimisation of heat exchangers using evolutionary algorithms, Ph.D thesis, Institute for Intelligent Systems Research and Innovation, Deakin Univeristy.

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Title Multiobjective optimisation of heat exchangers using evolutionary algorithms
Author Khosravi, Rihanna
Institution Deakin Univeristy
School Institute for Intelligent Systems Research and Innovation
Faculty GTP Operations
Degree type Research doctorate
Degree name Ph.D
Thesis advisor Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Mohamed, ShadyORCID iD for Mohamed, Shady orcid.org/0000-0002-8851-1635
Date submitted 2017-12-11
Summary This study is about optimal design of shell and tube heat exchangers using state of the art evolutionary algorithms. The research introduces a novel hybrid objective function which its optimisation leads to new design solutions not previously found by traditional techniques.
Language eng
Field of Research 090403 Chemical Engineering Design
090407 Process Control and Simulation
Socio Economic Objective 850304 Oil and Gas Refining
Description of original 130 p.
Copyright notice ┬ęThe author
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30105506

Document type: Thesis
Collections: Higher degree theses (Open Access)
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Created: Fri, 15 Dec 2017, 10:35:31 EST by Asif, Yasmin

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.