Multi-Objective Skylight Optimization for a Healthcare Facility Foyer Space

Conference Paper (2017)
Author(s)

Muhittin Yufka (Yasar University)

Berk Ekici (TU Delft - Design Informatics)

Cemre Çubukçuoglu (Yasar University)

Ioannis Chatzikonstantinou (TU Delft - Design Informatics)

Sevil Sariyildiz (TU Delft - Design Informatics)

Research Group
Design Informatics
DOI related publication
https://doi.org/10.1109/CEC.2017.7969418
More Info
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Publication Year
2017
Language
English
Research Group
Design Informatics
Pages (from-to)
1008-1014
ISBN (print)
978-1-5090-4601-0

Abstract

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.

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