Multi-objective early-stage design optimization of multifamily residential projects

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dc.authorid0000-0002-9633-5598en_US
dc.contributor.authorBilge, Eymen Çağatay
dc.contributor.authorYaman, Hakan
dc.date.accessioned2024-06-24T06:44:01Z
dc.date.available2024-06-24T06:44:01Z
dc.date.issued2024en_US
dc.departmentFakülteler, Mimarlık ve Tasarım Fakültesi, İç Mimarlık ve Çevre Tasarımı Bölümüen_US
dc.description.abstractThe aim of this study is to find a building form and plan layout that can be used in the early stages of architectural design, where criteria such as daylight, view, sun-hour, sales area, and cost are optimized according to the different expectations of different housing type users. This study proposes a multi-objective early-stage design optimization for a real estate development project based on the NSGA2 genetic algorithm, considering weighted user preferences for different housing types. The framework is implemented using the platforms Rhino and Grasshopper; Wallacei is used for NSGA2, and Viktor.ai is used to deploy the app. Tested on six sample plots, the model was able to find architecturally optimized results that respond to different user expectations. While the model successfully demonstrated responsiveness to parameters, its focus on Pareto-optimal solutions limited the diversity of unit mixes generated. The model has been tested by professionals on a sample plot and is found to be important for architects and investors to generate ideas at an early stage of architectural design.en_US
dc.identifier.doi10.1177/14780771241260856en_US
dc.identifier.scopus2-s2.0-85195649235en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11467/7302
dc.identifier.urihttps://doi.org/10.1177/14780771241260856
dc.identifier.wosWOS:001243504700001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSAGE Publications Inc.en_US
dc.relation.ispartofInternational Journal of Architectural Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMulti-objective optimization, Genetic algorithms, Architecture, Housing value, Real estate developmenten_US
dc.titleMulti-objective early-stage design optimization of multifamily residential projectsen_US
dc.typeArticleen_US

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