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Terry Knight and Una-May O'Reilly. Ingram, Joshua (Joshua Wayne) Massachusetts Institute of Technology. Dept. of Architecture. Massachusetts Institute of Technology. Department of Architecture 2012-09-13T18:53:10Z 2012-09-13T18:53:10Z 2012 2012 http://hdl.handle.net/1721.1/72813 806322795 Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2012. Cataloged from PDF version of thesis. Includes bibliographical references (p. [49]). There have been numerous studies demonstrating the use of optimization in architecture, yet it has not been adopted in the field, especially in the early stages of design. As buildings become more complex, the use of optimization in design becomes more relevant. Still, there is a gap between the way architects work and the role optimization plays in the design process. This work presents a new methodology, IDEA (interactive diversity-driven evolutionary algorithm), for designers to engage optimization in the early stages of design. IDEA is designed to work in a manner that is comfortable to the designer and easily integrated into the design process. By focusing on similarities and differences of form, designers sort design options into clusters. The clusters are used to develop a diversity-metric that IDEA uses to generate diverse design options that satisfy the objective. This work demonstrates a novel approach to interaction to better assist in early stages design. by Joshua Ingram. S.M. 66 p. eng Massachusetts Institute of Technology M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 Architecture. [a]sorted selection : improving building performance and diversity using a new form of interactive evolutionary algorithm Assorted selection : improving building performance and diversity using a new form of interactive evolutionary algorithm Sorted selection : improving building performance and diversity using a new form of interactive evolutionary algorithm Improving building performance and diversity using a new form of interactive evolutionary algorithm Thesis application/pdf false Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="4b8d63d1-3ff6-4d2e-b33b-3307ef966820"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>[a]sorted selection : improving building performance and diversity using a new form of interactive evolutionary algorithm</Title> <Subtitle>Assorted selection : improving building performance and diversity using a new form of interactive evolutionary algorithm</Subtitle> <Subtitle>Sorted selection : improving building performance and diversity using a new form of interactive evolutionary algorithm</Subtitle> <Subtitle>Improving building performance and diversity using a new form of interactive evolutionary algorithm</Subtitle> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2012</PublicationDate> <Authors> <Author> <DisplayName>Ingram, Joshua (Joshua Wayne)</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://dspace.mit.edu/handle/1721.1/7582</License> <Keyword>Architecture.</Keyword> <Abstract>There have been numerous studies demonstrating the use of optimization in architecture, yet it has not been adopted in the field, especially in the early stages of design. As buildings become more complex, the use of optimization in design becomes more relevant. Still, there is a gap between the way architects work and the role optimization plays in the design process. This work presents a new methodology, IDEA (interactive diversity-driven evolutionary algorithm), for designers to engage optimization in the early stages of design. IDEA is designed to work in a manner that is comfortable to the designer and easily integrated into the design process. By focusing on similarities and differences of form, designers sort design options into clusters. The clusters are used to develop a diversity-metric that IDEA uses to generate diverse design options that satisfy the objective. This work demonstrates a novel approach to interaction to better assist in early stages design.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>