Architectural design computing supported by multi-objective optimization

Michael S. Bittermann; Ozer Ciftcioglu

doi:10.1109/CEC.2015.7257167

Architectural design computing supported by multi-objective optimization

Michael S. Bittermann
, Ozer Ciftcioglu

Maltepe University
Delft University of Technology

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

4 Atıf (Scopus)

Özet

Studies on computer-based perception by vision modeling are described and applied to architectural design computation supported by multi-objective optimization. The visual perception is modeled from the computational viewpoint, where the model gives a probabilistic assessment for perceiving of an object. The computational visual perception is an important step in architectural design. Further, mention may be made to general design and monitoring applications. By means of computer experiments in a virtual environment the verification of the theoretical considerations are presented, and the far reaching implications of the studies are pointed out.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	2287-2294
Sayfa sayısı	8
ISBN (Elektronik)	9781479974924
DOI'lar	https://doi.org/10.1109/CEC.2015.7257167
Yayın durumu	Yayınlandı - 10 Eyl 2015
Harici olarak yayınlandı	Evet
Etkinlik	IEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan Süre: 25 May 2015 → 28 May 2015

Yayın serisi

Adı	2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	IEEE Congress on Evolutionary Computation, CEC 2015
Ülke/Bölge	Japan
Şehir	Sendai
Periyot	25/05/15 → 28/05/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

Belgeye Erişim

10.1109/CEC.2015.7257167

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Bittermann, M. S., & Ciftcioglu, O. (2015). Architectural design computing supported by multi-objective optimization. In 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings (pp. 2287-2294). Makale 7257167 (2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2015.7257167

@inproceedings{29cf1df55c9d4aa2bfe177fe808d143e,

title = "Architectural design computing supported by multi-objective optimization",

abstract = "Studies on computer-based perception by vision modeling are described and applied to architectural design computation supported by multi-objective optimization. The visual perception is modeled from the computational viewpoint, where the model gives a probabilistic assessment for perceiving of an object. The computational visual perception is an important step in architectural design. Further, mention may be made to general design and monitoring applications. By means of computer experiments in a virtual environment the verification of the theoretical considerations are presented, and the far reaching implications of the studies are pointed out.",

keywords = "architecture, computational design, genetic algorithm, Pareto front, visual perception, visual perception density",

author = "Bittermann, \{Michael S.\} and Ozer Ciftcioglu",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Congress on Evolutionary Computation, CEC 2015 ; Conference date: 25-05-2015 Through 28-05-2015",

year = "2015",

month = sep,

day = "10",

doi = "10.1109/CEC.2015.7257167",

language = "English",

series = "2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2287--2294",

booktitle = "2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings",

address = "United States",

}

Bittermann, MS & Ciftcioglu, O 2015, Architectural design computing supported by multi-objective optimization. in 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings., 7257167, 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 2287-2294, IEEE Congress on Evolutionary Computation, CEC 2015, Sendai, Japan, 25/05/15. https://doi.org/10.1109/CEC.2015.7257167

Architectural design computing supported by multi-objective optimization. / Bittermann, Michael S.; Ciftcioglu, Ozer.
2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2287-2294 7257167 (2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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AU - Ciftcioglu, Ozer

PY - 2015/9/10

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N2 - Studies on computer-based perception by vision modeling are described and applied to architectural design computation supported by multi-objective optimization. The visual perception is modeled from the computational viewpoint, where the model gives a probabilistic assessment for perceiving of an object. The computational visual perception is an important step in architectural design. Further, mention may be made to general design and monitoring applications. By means of computer experiments in a virtual environment the verification of the theoretical considerations are presented, and the far reaching implications of the studies are pointed out.

AB - Studies on computer-based perception by vision modeling are described and applied to architectural design computation supported by multi-objective optimization. The visual perception is modeled from the computational viewpoint, where the model gives a probabilistic assessment for perceiving of an object. The computational visual perception is an important step in architectural design. Further, mention may be made to general design and monitoring applications. By means of computer experiments in a virtual environment the verification of the theoretical considerations are presented, and the far reaching implications of the studies are pointed out.

KW - architecture

KW - computational design

KW - genetic algorithm

KW - Pareto front

KW - visual perception

KW - visual perception density

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DO - 10.1109/CEC.2015.7257167

M3 - Conference contribution

AN - SCOPUS:84963491190

T3 - 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings

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EP - 2294

BT - 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings

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Y2 - 25 May 2015 through 28 May 2015

ER -

Architectural design computing supported by multi-objective optimization

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