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dc.contributor.authorChatzikonstantinou, I.
dc.date.accessioned2021-01-25T19:33:57Z
dc.date.available2021-01-25T19:33:57Z
dc.date.issued2016
dc.identifier.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7837
dc.description.abstractEnvironmentally friendly and comfortable buildings are a much sought after goal in today's architectural practice. In order to improve energy consumption of buildings without sacrificing indoor comfort, careful consideration of design decisions is needed.
dc.language.isoEnglish
dc.publisherIEEE
dc.titleA Computational Intelligence Decision-Support Environment for Architectural and Building Design: CIDEA
dc.typeProceedings Paper
dc.relation.firstpage3887
dc.relation.lastpage3894
dc.description.woscategoryComputer Science, Artificial Intelligence
dc.description.wosresearchareaComputer Science
dc.identifier.wosidWOS:000390749104010
dc.identifier.ctitleIEEE Congress on Evolutionary Computation (CEC) held as part of IEEE World Congress on Computational Intelligence (IEEE WCCI)
dc.identifier.cdateJUL 24-29, 2016


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