Identification of Sustainable Designs for Floating Settlements Using Computational Design Techniques
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Date
2015
Authors
Cemre Ugurlu
Ioannis Chatzikonstantinou
Sevil Sariyildiz
Mehmet Fatih Tasgetiren
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Open Access Color
Green Open Access
Yes
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OpenAIRE Views
Publicly Funded
No
Abstract
This paper focuses on the conceptual design and the development of a floating neighborhood by taking advantage of computational methods. An application to a concept design of a floating neighborhood in the region of Urla - a coastal town close to Izmir in Turkey has been studied. The scenario that has been addressed concerns the development of an efficient floating settlement between four islands that are local to the study region. The whole study revolves around two issues first one is about configuration of the functions (accommodation marine yacht club public area) in order to maximize accessibility wind protection and visibility subject to both technical and nontechnical constraints. Second issue is to find a suitable form generated by shortest walk algorithm that decides how to create roads between functions where their places are gathered from optimization solutions. For the configuration of the functions since wind protection and visibility objectives as well as accessibility and visibility are conflicting with each other we make use of multi-objective evolutionary algorithms. The NSGA-II and DE algorithms are implemented in a Parametric Design Environment that is familiar in the architectural practice. We demonstrate that the NSGA-II performs slightly better in terms of hyper volume calculation and achieves promising results when the Pareto front approximation is examined.
Description
Keywords
floating city, multi-objective optimization, parametric model, evolutionary algorithms, pareto, GENETIC ALGORITHM, DIFFERENTIAL EVOLUTION, BUILDING DESIGN, OPTIMIZATION, LAYOUT, Multi-Objective Optimization, Pareto, Floating City, Parametric Model, Evolutionary Algorithms
Fields of Science
0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
8
Source
IEEE Congress on Evolutionary Computation (CEC)
Volume
Issue
Start Page
2303
End Page
2310
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Citations
CrossRef : 3
Scopus : 7
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Mendeley Readers : 21
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