Hybrid artificial neural network-genetic algorithm-based technique to optimize a steady-state gas-to-liquids plant

Khezri, Vahid, Yasari, Elham, Panahi, Mehdi and Khosravi, Abbas 2020, Hybrid artificial neural network-genetic algorithm-based technique to optimize a steady-state gas-to-liquids plant, Industrial and engineering chemistry research, vol. 59, pp. 8674-8687, doi: 10.1021/acs.iecr.9b06477.

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Title Hybrid artificial neural network-genetic algorithm-based technique to optimize a steady-state gas-to-liquids plant
Author(s) Khezri, Vahid
Yasari, Elham
Panahi, Mehdi
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Journal name Industrial and engineering chemistry research
Volume number 59
Start page 8674
End page 8687
Total pages 14
Publisher American Chemical Society
Place of publication Washington, D.C.
Publication date 2020
ISSN 0888-5885
1520-5045
Keyword(s) Science & Technology
Technology
Engineering, Chemical
Engineering
NATURAL-GAS
GLOBAL OPTIMIZATION
VECTOR REGRESSION
BIOGAS PRODUCTION
GTL
ENERGY
MODEL
STRATEGIES
DESIGN
Language eng
DOI 10.1021/acs.iecr.9b06477
Indigenous content off
Field of Research 09 Engineering
03 Chemical Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30139017

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