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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2287-2294
Number of pages	8
ISBN (Electronic)	9781479974924
DOIs	https://doi.org/10.1109/CEC.2015.7257167
Publication status	Published - 10 Sept 2015
Externally published	Yes
Event	IEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan Duration: 25 May 2015 → 28 May 2015

Publication series

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

Conference

Conference	IEEE Congress on Evolutionary Computation, CEC 2015
Country/Territory	Japan
City	Sendai
Period	25/05/15 → 28/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

architecture
computational design
genetic algorithm
Pareto front
visual perception
visual perception density

Access to Document

10.1109/CEC.2015.7257167

Cite this

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). Article 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

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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.",

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

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}

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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Architectural design computing supported by multi-objective optimization

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this