A Rapid Design Optimization Framework Strategies for the fast evaluation of design options

Likai Wang; Patrick Janssen; Tung Do Phuong Bui; Kian Wee Chen

A Rapid Design Optimization Framework Strategies for the fast evaluation of design options

Likai Wang, Patrick Janssen, Tung Do Phuong Bui, Kian Wee Chen

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

3 Citations (Scopus)

Abstract

This paper presents a framework for rapid design optimization, which is aimed to support the iterative design optimization process. The framework consists of Rhino-Grasshopper and an evaluation server. In order to speed up the optimization process, three strategies are implemented in the framework, including parallel execution, early abortion, and multi-resolution simulations. To examine the efficacy of the developed framework, a casestudy design optimization is conducted, and different combinations of the strategies are tested and compared. The case study investigates the impact of the adopted strategies on the optimization process in terms of search efficiency and effectiveness, and the result of the case study also demonstrates that optimization can be significantly improved by the use of the adopted strategies.

Original language	English
Title of host publication	eCAADe 2022 - Co-creating the Future
Subtitle of host publication	Inclusion in and through Design
Editors	Burak Pak, Gabriel Wurzer, Rudi Stouffs
Publisher	Education and research in Computer Aided Architectural Design in Europe
Pages	619-628
Number of pages	10
ISBN (Print)	9789491207327
Publication status	Published - 2022
Externally published	Yes
Event	40th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2022 - Ghent, Belgium Duration: 13 Sept 2022 → 16 Sept 2022

Publication series

Name	Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe
Volume	1
ISSN (Print)	2684-1843

Conference

Conference	40th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2022
Country/Territory	Belgium
City	Ghent
Period	13/09/22 → 16/09/22

Keywords

Design Evaluation
Design Optimization
Parallel Processing
Performance- Based Design

Cite this

Wang, L., Janssen, P., Bui, T. D. P., & Chen, K. W. (2022). A Rapid Design Optimization Framework Strategies for the fast evaluation of design options. In B. Pak, G. Wurzer, & R. Stouffs (Eds.), eCAADe 2022 - Co-creating the Future: Inclusion in and through Design (pp. 619-628). (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe; Vol. 1). Education and research in Computer Aided Architectural Design in Europe.

Wang, Likai ; Janssen, Patrick ; Bui, Tung Do Phuong et al. / A Rapid Design Optimization Framework Strategies for the fast evaluation of design options. eCAADe 2022 - Co-creating the Future: Inclusion in and through Design. editor / Burak Pak ; Gabriel Wurzer ; Rudi Stouffs. Education and research in Computer Aided Architectural Design in Europe, 2022. pp. 619-628 (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe).

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title = "A Rapid Design Optimization Framework Strategies for the fast evaluation of design options",

abstract = "This paper presents a framework for rapid design optimization, which is aimed to support the iterative design optimization process. The framework consists of Rhino-Grasshopper and an evaluation server. In order to speed up the optimization process, three strategies are implemented in the framework, including parallel execution, early abortion, and multi-resolution simulations. To examine the efficacy of the developed framework, a casestudy design optimization is conducted, and different combinations of the strategies are tested and compared. The case study investigates the impact of the adopted strategies on the optimization process in terms of search efficiency and effectiveness, and the result of the case study also demonstrates that optimization can be significantly improved by the use of the adopted strategies.",

keywords = "Design Evaluation, Design Optimization, Parallel Processing, Performance- Based Design",

author = "Likai Wang and Patrick Janssen and Bui, {Tung Do Phuong} and Chen, {Kian Wee}",

note = "Funding Information: This work is part of the research project: “Optimization Algorithm for Rapid Sustainable Planning and Design”, supported by Housing Development Board (HDB), Singapore. Publisher Copyright: {\textcopyright} 2022, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.; 40th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2022 ; Conference date: 13-09-2022 Through 16-09-2022",

year = "2022",

language = "English",

isbn = "9789491207327",

series = "Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe",

publisher = "Education and research in Computer Aided Architectural Design in Europe",

pages = "619--628",

editor = "Burak Pak and Gabriel Wurzer and Rudi Stouffs",

booktitle = "eCAADe 2022 - Co-creating the Future",

}

Wang, L, Janssen, P, Bui, TDP & Chen, KW 2022, A Rapid Design Optimization Framework Strategies for the fast evaluation of design options. in B Pak, G Wurzer & R Stouffs (eds), eCAADe 2022 - Co-creating the Future: Inclusion in and through Design. Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe, vol. 1, Education and research in Computer Aided Architectural Design in Europe, pp. 619-628, 40th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2022, Ghent, Belgium, 13/09/22.

A Rapid Design Optimization Framework Strategies for the fast evaluation of design options. / Wang, Likai; Janssen, Patrick; Bui, Tung Do Phuong et al.
eCAADe 2022 - Co-creating the Future: Inclusion in and through Design. ed. / Burak Pak; Gabriel Wurzer; Rudi Stouffs. Education and research in Computer Aided Architectural Design in Europe, 2022. p. 619-628 (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe; Vol. 1).

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

TY - GEN

T1 - A Rapid Design Optimization Framework Strategies for the fast evaluation of design options

AU - Wang, Likai

AU - Janssen, Patrick

AU - Bui, Tung Do Phuong

AU - Chen, Kian Wee

N1 - Funding Information: This work is part of the research project: “Optimization Algorithm for Rapid Sustainable Planning and Design”, supported by Housing Development Board (HDB), Singapore. Publisher Copyright: © 2022, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.

PY - 2022

Y1 - 2022

N2 - This paper presents a framework for rapid design optimization, which is aimed to support the iterative design optimization process. The framework consists of Rhino-Grasshopper and an evaluation server. In order to speed up the optimization process, three strategies are implemented in the framework, including parallel execution, early abortion, and multi-resolution simulations. To examine the efficacy of the developed framework, a casestudy design optimization is conducted, and different combinations of the strategies are tested and compared. The case study investigates the impact of the adopted strategies on the optimization process in terms of search efficiency and effectiveness, and the result of the case study also demonstrates that optimization can be significantly improved by the use of the adopted strategies.

AB - This paper presents a framework for rapid design optimization, which is aimed to support the iterative design optimization process. The framework consists of Rhino-Grasshopper and an evaluation server. In order to speed up the optimization process, three strategies are implemented in the framework, including parallel execution, early abortion, and multi-resolution simulations. To examine the efficacy of the developed framework, a casestudy design optimization is conducted, and different combinations of the strategies are tested and compared. The case study investigates the impact of the adopted strategies on the optimization process in terms of search efficiency and effectiveness, and the result of the case study also demonstrates that optimization can be significantly improved by the use of the adopted strategies.

KW - Design Evaluation

KW - Design Optimization

KW - Parallel Processing

KW - Performance- Based Design

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M3 - Conference Proceeding

AN - SCOPUS:85139772315

SN - 9789491207327

T3 - Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe

SP - 619

EP - 628

BT - eCAADe 2022 - Co-creating the Future

A2 - Pak, Burak

A2 - Wurzer, Gabriel

A2 - Stouffs, Rudi

PB - Education and research in Computer Aided Architectural Design in Europe

T2 - 40th Conference on Education and Research in Computer Aided Architectural Design in Europe, eCAADe 2022

Y2 - 13 September 2022 through 16 September 2022

ER -

Wang L, Janssen P, Bui TDP, Chen KW. A Rapid Design Optimization Framework Strategies for the fast evaluation of design options. In Pak B, Wurzer G, Stouffs R, editors, eCAADe 2022 - Co-creating the Future: Inclusion in and through Design. Education and research in Computer Aided Architectural Design in Europe. 2022. p. 619-628. (Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe).

A Rapid Design Optimization Framework Strategies for the fast evaluation of design options

Abstract

Publication series

Conference

Keywords

Other files and links

Fingerprint

Optimization Algorithm for Rapid Sustainable Planning and Design

Cite this

A Rapid Design Optimization Framework Strategies for the fast evaluation of design options

Abstract

Publication series

Conference

Keywords

Other files and links

Fingerprint

Activities

Optimization Algorithm for Rapid Sustainable Planning and Design

Cite this