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dc.contributor.advisorYan, Wei
dc.creatorSu, Zhouzhou
dc.date.accessioned2015-10-29T19:48:37Z
dc.date.available2017-08-01T05:37:25Z
dc.date.created2015-08
dc.date.issued2015-08-11
dc.date.submittedAugust 2015
dc.identifier.urihttp://hdl.handle.net/1969.1/155582
dc.description.abstractThe use of design optimization in the early stages of architectural design process has attracted a high volume of research in recent years. However, traditional design optimization requires a significant amount of computing time, especially when there are multiple design objectives to achieve. What’s more, there is a lack of studies in the current research on automatic generation of architectural design knowledge from optimization results. This paper presents computational methods for creating and improving a closed loop of design optimization and knowledge discovery in architecture. It first introduces a design knowledge-assisted optimization improvement method with the techniques - offline simulation and Divide & Conquer (D&C) - to reduce the computing time and improve the efficiency of the design optimization process utilizing architectural domain knowledge. It then describes a new design knowledge discovery system where design knowledge can be discovered from optimization through an automatic data mining approach. The discovered knowledge has the potential to further help improve the efficiency of the optimization method, thus forming a closed loop of improving optimization and knowledge discovery. The validations of both methods are presented in the context of a case study with parametric form-finding for a nursing unit design with two design objectives: minimizing the nurses’ travel distance and maximizing daylighting performance in patient rooms.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectDesign Optimizationen
dc.subjectBuilding Simulationen
dc.subjectGenetic Algorithmen
dc.subjectTime Complexityen
dc.subjectOffline Simulationen
dc.subjectDivide and Conqueren
dc.titleImproving Design Optimization and Optimization-based Design Knowledge Discoveryen
dc.typeThesisen
thesis.degree.departmentArchitectureen
thesis.degree.disciplineArchitectureen
thesis.degree.grantorTexas A & M Universityen
thesis.degree.nameDoctor of Philosophyen
thesis.degree.levelDoctoralen
dc.contributor.committeeMemberShepley, Mardelle
dc.contributor.committeeMemberZhu, Xuemei
dc.contributor.committeeMemberKang, Julian
dc.type.materialtexten
dc.date.updated2015-10-29T19:48:37Z
local.embargo.terms2017-08-01
local.etdauthor.orcid0000-0003-3834-8400


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