Towards creative design using collaborative interactive genetic algorithms

Juan C. Quiroz*, Sushil J. Louis, Amit Banerjee, Sergiu M. Dascalu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

23 Citations (Scopus)

Abstract

We present a computational model of creative design based on collaborative interactive genetic algorithms. We test our model on floorplanning. We guide the evolution of floorplans based on subjective and objective criteria. The subjective criteria consists of designers picking the floorplan they like the best from a population of floorplans, and the objective criteria consists of coded architectural guidelines. We support collaboration by allowing individual designers to view each others' designs during the evolutionary process and the sharing of designs via case injection. This methodology supports team design, and reflects the view of creativity that collaboration accounts for much of our intelligence and creativity. We present a description of the model and a comparative study of floorplans created individually versus collaboratively. Our results show that floorplans created collaboratively were considered to be more "revolutionary" and "original" than those created individually.

Original languageEnglish
Title of host publication2009 IEEE Congress on Evolutionary Computation
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1849-1856
Number of pages8
ISBN (Print)9781424429585
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventIEEE Congress on Evolutionary Computation - Trondheim, Norway
Duration: 18 May 200921 May 2009

Publication series

NameIEEE Congress on Evolutionary Computation
PublisherIEEE

Conference

ConferenceIEEE Congress on Evolutionary Computation
CountryNorway
CityTrondheim
Period18/05/0921/05/09

Cite this

Quiroz, J. C., Louis, S. J., Banerjee, A., & Dascalu, S. M. (2009). Towards creative design using collaborative interactive genetic algorithms. In 2009 IEEE Congress on Evolutionary Computation (pp. 1849-1856). (IEEE Congress on Evolutionary Computation). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CEC.2009.4983166