Multi-Objective Skylight Optimization for a Healthcare Facility Foyer Space

Muhittin Yufka, Berk Ekici, Cemre Çubukçuoglu, Ioannis Chatzikonstantinou, Sevil Sariyildiz

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

7 Citations (Scopus)


In this paper, the design of a specific case study of a foyer space is concerned in healthcare facility. The design task of a healthcare facility in architectural perspective is one of the most challenging tasks in the architectural design field since it involves different spaces that have unique requirements. Specifically, a foyer space has been considered as a gathering area that answers people’s needs and expectations. The study shows an application of computational intelligence for a skylight design in foyer space. For this reason, objective functions are considered to minimize skylight cost and to maximize the daylight performance of the interior space. Multi-Objective Self-Adaptive Ensemble Differential Evolution Algorithm and Non-Dominated Sorting Genetic Algorithm-II are proposed to tackle this complex problem. According to results, jE_DEMO algorithm presents satisfactory solutions as well as NSGA-II.
Original languageEnglish
Title of host publicationProceedings 2017 IEEE Congress on Evolutionary Computation
EditorsJ.A. Lozano
Number of pages7
ISBN (Print)978-1-5090-4601-0
Publication statusPublished - 7 Jul 2017
EventIEEE Congress on Evolutionary Computation 2017 - Donostia/San Sebastian, Spain
Duration: 5 Jun 20178 Jun 2017


ConferenceIEEE Congress on Evolutionary Computation 2017
Abbreviated titleCEC
CityDonostia/San Sebastian
Internet address


  • skylight design
  • multi-objective optimization
  • computational design
  • performance based design


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