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	2021-01-25T19:33:58Z
dc.date.available	2021-01-25T19:33:58Z
dc.date.issued	2016
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/7839
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	IEEE
dc.title	Multi-Objective Optimization For Shading Devices in Buildings By Using Evolutionary Algorithms
dc.type	Proceedings Paper
dc.relation.firstpage	3917
dc.relation.lastpage	3924
dc.description.woscategory	Computer Science, Artificial Intelligence
dc.description.wosresearcharea	Computer Science
dc.identifier.wosid	WOS:000390749104014
dc.identifier.ctitle	IEEE Congress on Evolutionary Computation (CEC) held as part of IEEE World Congress on Computational Intelligence (IEEE WCCI)
dc.identifier.cdate	JUL 24-29, 2016

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