Multi-objective optimization for shading devices in buildings by using evolutionary algorithms

dc.contributor.author	Kirimtat, A.
dc.contributor.author	Koyunbaba, B.K.
dc.contributor.author	Chatzikonstantinou, I.
dc.contributor.author	Sariyildiz, I.S.
dc.contributor.author	Suganthan, P.N.
dc.date.accessioned	2021-01-25T20:49:07Z
dc.date.available	2021-01-25T20:49:07Z
dc.date.issued	2016
dc.identifier	10.1109/CEC.2016.7744286
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008258239&doi=10.1109%2fCEC.2016.7744286&partnerID=40&md5=4ac5aa4341c4c0ecaf66b59c991ebf0a
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10151
dc.description.abstract	The reduction of energy consumption is a major challenge around the world. Architectural aspects have a significant place to minimize energy consumption to the maximum level. The use of large glazed facades causes overheating problems in certain climatic
dc.language.iso	English
dc.publisher	2016 IEEE Congress on Evolutionary Computation, CEC 2016
dc.title	Multi-objective optimization for shading devices in buildings by using evolutionary algorithms
dc.type	Conference Paper
dc.relation.firstpage	3917
dc.relation.lastpage	3924
dc.description.affiliations	Yasar University, Department of Architecture, Izmir, Turkey; TU Delft, Department of Design Informatics, Delft, Netherlands; Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore

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