[a]sorted selection : improving building performance and diversity using a new form of interactive evolutionary algorithm

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Architecture.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2012

Author dc:creator

• Ingram, Joshua (Joshua Wayne)

Advisor dc:contributor.advisor

• Terry Knight and Una-May O'Reilly.

• Architecture.

Statement dc:rights

• 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/72813

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/72813