Design of Rectangular Façade Modules through Computational Intelligence: Case of Common Space in Healthcare Building

Selim Karaman; Berk Ekici; Cemre Çubukçuoglu; Basak Kundakci Koyunbaba; Ilker Kahraman

doi:10.1109/CEC.2017.7969420

Design of Rectangular Façade Modules through Computational Intelligence: Case of Common Space in Healthcare Building

Selim Karaman
, Berk Ekici
, Cemre Çubukçuoglu
, Basak Kundakci Koyunbaba
, Ilker Kahraman

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

This paper presents an implementation of multi-objective optimization for a rectangular façade design proposal in a healthcare building’s common space. Objectives are to maximize daylight performance and to minimize façade construction cost. The aim of this study is to enhance indoor comfort of an existing healthcare building by concerning cost-effective façade design alternatives subject to several constraints. To handle the problem, we formulate a multi-objective real-parameter constraint problem. In order to solve this, Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and Multi-objective Self-Adaptive Ensemble Differential Evolution (jE_DEMO) algorithms are used. Finally, both algorithms are capable to discover desirable set of design alternatives.

Original language	English
Title of host publication	Proceedings 2017 IEEE Congress on Evolutionary Computation
Editors	J.A. Lozano
Publisher	IEEE
Pages	1021-1028
Number of pages	8
ISBN (Print)	978-1-5090-4601-0
DOIs	https://doi.org/10.1109/CEC.2017.7969420
Publication status	Published - 7 Jul 2017
Event	IEEE Congress on Evolutionary Computation 2017 - Donostia/San Sebastian, Spain Duration: 5 Jun 2017 → 8 Jun 2017 http://cec2017.org/

Conference

Conference	IEEE Congress on Evolutionary Computation 2017
Abbreviated title	CEC
Country/Territory	Spain
City	Donostia/San Sebastian
Period	5/06/17 → 8/06/17
Internet address	http://cec2017.org/

Keywords

Healthcare building
Façade design
Evolutionary computation
Multi-objective optimization
Differential evolution

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10.1109/CEC.2017.7969420

Cite this

@inproceedings{009da7def2e643ed873f19b67d7aea88,

title = "Design of Rectangular Fa{\c c}ade Modules through Computational Intelligence: Case of Common Space in Healthcare Building",

abstract = "This paper presents an implementation of multi-objective optimization for a rectangular fa{\c c}ade design proposal in a healthcare building{\textquoteright}s common space. Objectives are to maximize daylight performance and to minimize fa{\c c}ade construction cost. The aim of this study is to enhance indoor comfort of an existing healthcare building by concerning cost-effective fa{\c c}ade design alternatives subject to several constraints. To handle the problem, we formulate a multi-objective real-parameter constraint problem. In order to solve this, Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and Multi-objective Self-Adaptive Ensemble Differential Evolution (jE\_DEMO) algorithms are used. Finally, both algorithms are capable to discover desirable set of design alternatives.",

keywords = "Healthcare building, Fa{\c c}ade design, Evolutionary computation, Multi-objective optimization, Differential evolution",

author = "Selim Karaman and Berk Ekici and Cemre {\c C}ubuk{\c c}uoglu and \{Kundakci Koyunbaba\}, Basak and Ilker Kahraman",

year = "2017",

month = jul,

day = "7",

doi = "10.1109/CEC.2017.7969420",

language = "English",

isbn = "978-1-5090-4601-0",

pages = "1021--1028",

editor = "J.A. Lozano",

booktitle = "Proceedings 2017 IEEE Congress on Evolutionary Computation",

publisher = "IEEE",

address = "United States",

note = "IEEE Congress on Evolutionary Computation 2017, CEC ; Conference date: 05-06-2017 Through 08-06-2017",

url = "http://cec2017.org/",

}

Karaman, S, Ekici, B, Çubukçuoglu, C, Kundakci Koyunbaba, B & Kahraman, I 2017, Design of Rectangular Façade Modules through Computational Intelligence: Case of Common Space in Healthcare Building. in JA Lozano (ed.), Proceedings 2017 IEEE Congress on Evolutionary Computation. IEEE, pp. 1021-1028, IEEE Congress on Evolutionary Computation 2017, Donostia/San Sebastian, Spain, 5/06/17. https://doi.org/10.1109/CEC.2017.7969420

Design of Rectangular Façade Modules through Computational Intelligence: Case of Common Space in Healthcare Building. / Karaman, Selim; Ekici, Berk; Çubukçuoglu, Cemre et al.
Proceedings 2017 IEEE Congress on Evolutionary Computation. ed. / J.A. Lozano. IEEE, 2017. p. 1021-1028.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Design of Rectangular Façade Modules through Computational Intelligence

T2 - IEEE Congress on Evolutionary Computation 2017

AU - Karaman, Selim

AU - Ekici, Berk

AU - Çubukçuoglu, Cemre

AU - Kundakci Koyunbaba, Basak

AU - Kahraman, Ilker

PY - 2017/7/7

Y1 - 2017/7/7

N2 - This paper presents an implementation of multi-objective optimization for a rectangular façade design proposal in a healthcare building’s common space. Objectives are to maximize daylight performance and to minimize façade construction cost. The aim of this study is to enhance indoor comfort of an existing healthcare building by concerning cost-effective façade design alternatives subject to several constraints. To handle the problem, we formulate a multi-objective real-parameter constraint problem. In order to solve this, Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and Multi-objective Self-Adaptive Ensemble Differential Evolution (jE_DEMO) algorithms are used. Finally, both algorithms are capable to discover desirable set of design alternatives.

AB - This paper presents an implementation of multi-objective optimization for a rectangular façade design proposal in a healthcare building’s common space. Objectives are to maximize daylight performance and to minimize façade construction cost. The aim of this study is to enhance indoor comfort of an existing healthcare building by concerning cost-effective façade design alternatives subject to several constraints. To handle the problem, we formulate a multi-objective real-parameter constraint problem. In order to solve this, Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and Multi-objective Self-Adaptive Ensemble Differential Evolution (jE_DEMO) algorithms are used. Finally, both algorithms are capable to discover desirable set of design alternatives.

KW - Healthcare building

KW - Façade design

KW - Evolutionary computation

KW - Multi-objective optimization

KW - Differential evolution

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DO - 10.1109/CEC.2017.7969420

M3 - Conference contribution

SN - 978-1-5090-4601-0

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BT - Proceedings 2017 IEEE Congress on Evolutionary Computation

A2 - Lozano, J.A.

PB - IEEE

Y2 - 5 June 2017 through 8 June 2017

ER -

Design of Rectangular Façade Modules through Computational Intelligence: Case of Common Space in Healthcare Building

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Keywords

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