A multi-objective self-adaptive differential evolution algorithm for conceptual high-rise building design

dc.contributor.author	Ekici, B.
dc.contributor.author	Chatzikonstantinou, I.
dc.contributor.author	Sariyildiz, I.S.
dc.contributor.author	Tasgetiren, M.F.
dc.contributor.author	Pan, Q.K.
dc.date.accessioned	2021-01-25T20:49:08Z
dc.date.available	2021-01-25T20:49:08Z
dc.date.issued	2016
dc.identifier	10.1109/CEC.2016.7744069
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008252553&doi=10.1109%2fCEC.2016.7744069&partnerID=40&md5=8a777d824ed4d1df6c4fdcf1d72d113b
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10157
dc.description.abstract	This paper presents a multi-objective self-adaptive differential evolution algorithm to solve the form-finding problem of high-rise building design in the conceptual phase. The aim of the research is to reach suitable high-rise design alternatives for har
dc.language.iso	English
dc.publisher	2016 IEEE Congress on Evolutionary Computation, CEC 2016
dc.title	A multi-objective self-adaptive differential evolution algorithm for conceptual high-rise building design
dc.type	Conference Paper
dc.relation.firstpage	2272
dc.relation.lastpage	2279
dc.description.affiliations	Yasar University, TU Delft, Department of Design Informatics, Izmir, Turkey; Yasar University, Department of Industrial Engineering, Izmir, Turkey; State Key Laboratory, Huazhong University of Science and Technology, Wuhan, China

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