Design of Rectangular Façade Modules through Computational Intelligence

Case of Common Space in Healthcare Building

Conference paper (2017)

Authors

Selim Karaman Yasar University

B. Ekici Design Informatics - Architecture and the Built Environment

C. Çubukçuoglu Yasar University

Basak Kundakci Koyunbaba Yasar University

Ilker Kahraman Yasar University

Research Group

Design Informatics (Architecture and the Built Environment) (TU Delft)

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

To reference this document use:

http://resolver.tudelft.nl/uuid:009da7de-f2e6-43ed-873f-19b67d7aea88

More Info

expand_more

Published Date

07-07-2017

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Architecture and the Built Environment

Department

Architectural Engineering +Technology

Research Group

Design Informatics

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.

Files

07969420.pdf

(pdf | 3.06 Mb)

Unknown license

Download not available