@phdthesis{oai:kitakyu.repo.nii.ac.jp:00001056,
 author = {Rendy, Perdana Khidmat},
 month = {2022-12-20},
 note = {This thesis focuses on the implementation of a generative algorithm approach in investigating environmental performance indicators during the early phases of architectural design by proposing techniques to discover the best design solutions based on their optimal design goals, as well as the study of the design parameter’s role. The investigation encompasses a multitude of design aspects, including glazing and shade configuration, geometry, and structural objective-related factors. The findings indicate that the proposed methodology suggests performance optimization related to daylight, energy consumption, thermal comfort, and structural consideration. The study contributes to the field of computational architecture design by providing insight into how form finding leads to design goal optimization and a method for examining the link between design parameters and design objectives at various scales of the design project. Through this approach, design goals can be quantitatively justified, and it is expected to contribute to an environmentally friendly architectural design vision.},
 school = {北九州市立大学},
 title = {Study on Optimization Method of Architectural Design Process based on Environmental Performance Indicators and Implementation of Generative Algorithm},
 year = {}
}