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dc.contributor.authorChen, Jen_US
dc.contributor.authorMahfouf, Men_US
dc.contributor.authorSidahmed, Gen_US
dc.date.accessioned2017-12-08T10:45:19Z
dc.date.available2014-08-31en_US
dc.date.issued2014-09-29en_US
dc.date.submitted2017-12-03T20:34:31.812Z
dc.identifier.issn0952-1976en_US
dc.identifier.otherC
dc.identifier.otherC
dc.identifier.otherCen_US
dc.identifier.otherCen_US
dc.identifier.otherCen_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/29265
dc.descriptionpublisher: Elsevier articletitle: A new holistic systems approach to the design of heat treated alloy steels using a biologically inspired multi-objective optimisation algorithm journaltitle: Engineering Applications of Artificial Intelligence articlelink: http://dx.doi.org/10.1016/j.engappai.2014.08.014 content_type: article copyright: Copyright © 2014 Elsevier Ltd. All rights reserved.en_US
dc.descriptionpublisher: Elsevier articletitle: A new holistic systems approach to the design of heat treated alloy steels using a biologically inspired multi-objective optimisation algorithm journaltitle: Engineering Applications of Artificial Intelligence articlelink: http://dx.doi.org/10.1016/j.engappai.2014.08.014 content_type: article copyright: Copyright © 2014 Elsevier Ltd. All rights reserved.en_US
dc.descriptionpublisher: Elsevier articletitle: A new holistic systems approach to the design of heat treated alloy steels using a biologically inspired multi-objective optimisation algorithm journaltitle: Engineering Applications of Artificial Intelligence articlelink: http://dx.doi.org/10.1016/j.engappai.2014.08.014 content_type: article copyright: Copyright © 2014 Elsevier Ltd. All rights reserved.en_US
dc.format.extent103 - 114en_US
dc.relation.ispartofEngineering Applications of Artificial Intelligenceen_US
dc.rightshttps://doi.org/10.1016/j.engappai.2014.08.014
dc.titleA new holistic systems approach to the design of heat treated alloy steels using a biologically inspired multi-objective optimisation algorithmen_US
dc.typeArticle
dc.rights.holderCopyright © 2014 Elsevier Ltd.
dc.identifier.doi10.1016/j.engappai.2014.08.014en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume37en_US
dcterms.dateAccepted2014-08-31en_US
qmul.funderA NEW FRAMEWORK FOR HYBRID THROUGH-PROCESS MODELLING, PROCESS SIMULATION AND OPTIMISATION IN THE METALS INDUSTRY::Engineering and Physical Sciences Research Councilen_US


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