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 volumeConference contributionScientificpeer-review

2 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings 2017 IEEE Congress on Evolutionary Computation
EditorsJ.A. Lozano
PublisherIEEE
Pages1021-1028
Number of pages8
ISBN (Print)978-1-5090-4601-0
DOIs
Publication statusPublished - 7 Jul 2017
EventIEEE Congress on Evolutionary Computation 2017 - Donostia/San Sebastian, Spain
Duration: 5 Jun 20178 Jun 2017
http://cec2017.org/

Conference

ConferenceIEEE Congress on Evolutionary Computation 2017
Abbreviated titleCEC
CountrySpain
CityDonostia/San Sebastian
Period5/06/178/06/17
Internet address

Keywords

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

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