A computational intelligence decision-support environment for architectural and building design: CIDEA

dc.contributor.author	Chatzikonstantinou, I.
dc.date.accessioned	2021-01-25T20:49:06Z
dc.date.available	2021-01-25T20:49:06Z
dc.date.issued	2016
dc.identifier	10.1109/CEC.2016.7744282
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008263037&doi=10.1109%2fCEC.2016.7744282&partnerID=40&md5=a0381a668f417599cb509a1060f43967
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10149
dc.description.abstract	Environmentally 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.iso	English
dc.publisher	2016 IEEE Congress on Evolutionary Computation, CEC 2016
dc.title	A computational intelligence decision-support environment for architectural and building design: CIDEA
dc.type	Conference Paper
dc.relation.firstpage	3887
dc.relation.lastpage	3894
dc.description.affiliations	Faculty of Architecture, Yaşar University, Izmir, Turkey; Department of Building Technology, Faculty of Architecture, TU Delft, Delft, Netherlands

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