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dc.contributor.authorGongora, Mario Augustoen
dc.contributor.authorAshfaq, W.en
dc.date.accessioned2008-11-24T13:24:17Z
dc.date.available2008-11-24T13:24:17Z
dc.date.issued2006-07-01en
dc.identifier.citationGongora, M.A. and Ashfaq, W. (2006) Analysis of passenger movement at Birmingham International Airport. Proceedings of IEEE World Conference on Computational Intelligence (IEEE Congress on Evolutionary Computation), pp. 1339-1345.
dc.identifier.isbn0780394879
dc.identifier.urihttp://hdl.handle.net/2086/198
dc.descriptionThe paper demonstrates our research claims that Evolutionary Computing techniques can be used for extracting information which is non-explicitly available within data, and therefore otherwise impossible to discern. It shows how our novel A.I. techniques can actually be tested and validated using real-world data. It supports the quest for research to be accepted by the business community, to show that it will eventually be useful to understand a system which potentially has obscure internal knowledge which was previously impossible to extract and therefore analyse.en
dc.language.isoenen
dc.publisherIEEEen
dc.subjectRAE 2008
dc.subjectUoA 23 Computer Science and Informatics
dc.subjectgenetic algorithms
dc.subjectdata analysis
dc.subjectpassenger movement analysis
dc.titleAnalysis of passenger movement at Birmingham International Airporten
dc.typeConferenceen
dc.identifier.doihttp://dx.doi.org/10.1109/CEC.2006.1688464
dc.researchgroupCentre for Computational Intelligence
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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