Combining structural performance and designer preferences in evolutionary design space exploration
Name
Mueller-Ochsendorf_2015_Submitted-Version.pdf
Description
Submitted Manuscript
Size
2.16 MB
Format
Adobe PDF
Checksum (MD5)
e9db78a9bbaecd8f85caa171b8766232
Author(s)
Mueller, Caitlin T
Ochsendorf, John A
Date Issued
April 2015
Journal
Automation in Construction
Publisher
Elsevier
Citation
Mueller, Caitlin T., and John A. Ochsendorf. “Combining Structural Performance and Designer Preferences in Evolutionary Design Space Exploration.” Automation in Construction 52 (April 2015): 70–82.
Version
Author's final manuscript
Abstract
This paper addresses the need to consider both quantitative performance goals and qualitative requirements in conceptual design. A new computational approach for design space exploration is proposed that extends existing interactive evolutionary algorithms for increased inclusion of designer preferences, overcoming the weaknesses of traditional optimization that have limited its use in practice. This approach allows designers to set the evolutionary parameters of mutation rate and generation size, in addition to parent selection, in order to steer design space exploration. This paper demonstrates the potential of this approach through a numerical parametric study, a software implementation, and series of case studies.
MIT Department
Massachusetts Institute of Technology. Department of Architecture
Terms of Use
Creative Commons Attribution-Noncommercial-NoDerivatives
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.autcon.2015.02.011
