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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/59562
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dc.contributor.authorMichalewicz, Z.-
dc.contributor.authorIbrahimov, M.-
dc.contributor.authorMohais, A.-
dc.date.issued2009-
dc.identifier.citation"Evolutionary Methods for Design, Optimization and Control"; Proceedings of EUROGEN 2009 (Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems) / T. Burczynski and J. Periaux (eds.): pp.1-6-
dc.identifier.urihttp://hdl.handle.net/2440/59562-
dc.description.abstractAdaptive Business Intelligence systems combine the methods and techniques that enable prediction, optimisation and adaptation. Adaptive Business Intelligence software solutions powered by Computational Intelligence tools are invaluable for making better predictions and decisions. This paper discusses applicability of Adaptive Business Intelligence software systems for Demand Planning, Advanced Planning and Scheduling, and Supply Chain Network Optimisation, developed by SolveIT Software Pty Ltd.-
dc.description.statementofresponsibilityZbigniew Michalewicz, Maksud Ibrahimov, Arvind Mohais, Sven Schellenberg and Neal Wagner-
dc.description.urihttp://www.eurogen2009.polsl.pl/index.html-
dc.language.isoen-
dc.publisherCIMNE-
dc.rightsCopyright CIMNE, Barcelona, Spain 2009-
dc.source.urihttp://www.cs.adelaide.edu.au/~maksud/index.php?page=publications-
dc.subjectcomputational intelligence-
dc.subjectoptimisation-
dc.subjectscheduling-
dc.subjectplanning-
dc.subjectevolutionary algorithms-
dc.subjectglobal optimisation-
dc.subjectmulti-silo optimisation-
dc.titleApplications of evolutionary methods for complex industrial problems-
dc.typeConference paper-
dc.contributor.conferenceEUROGEN (2009 : Cracow, Poland)-
dc.publisher.placeSpain-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest 5
Computer Science publications

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