Genetic Algorithm optimised Chemical Reactors network: A novel technique for alternative fuels emission prediction

Leong, C.C., Blakey, S. and Wilson, C.W. (2016) Genetic Algorithm optimised Chemical Reactors network: A novel technique for alternative fuels emission prediction. Swarm and Evolutionary Computation, 27. pp. 180-187. ISSN 2210-6502

Abstract

Metadata

Authors/Creators:
  • Leong, C.C.
  • Blakey, S.
  • Wilson, C.W.
Copyright, Publisher and Additional Information: © 2015 Elsevier. This is an author produced version of a paper subsequently published in Swarm and Evolutionary Computation. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: Genetic Algorithms; Chemical Reactors Network; Aircraft Engines; Alternative Fuels; Emissions
Dates:
  • Published: April 2016
  • Published (online): 17 December 2015
  • Accepted: 5 December 2015
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 21 Jan 2016 13:28
Last Modified: 17 Dec 2017 01:38
Published Version: http://dx.doi.org/10.1016/j.swevo.2015.12.001
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.swevo.2015.12.001

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