Towards creative design using collaborative interactive genetic algorithms

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

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

24 Scopus citations

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 (US)
Title of host publication2009 IEEE Congress on Evolutionary Computation, CEC 2009
Pages1849-1856
Number of pages8
DOIs
StatePublished - Nov 25 2009
Event2009 IEEE Congress on Evolutionary Computation, CEC 2009 - Trondheim, Norway
Duration: May 18 2009May 21 2009

Publication series

Name2009 IEEE Congress on Evolutionary Computation, CEC 2009

Other

Other2009 IEEE Congress on Evolutionary Computation, CEC 2009
CountryNorway
CityTrondheim
Period5/18/095/21/09

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Theoretical Computer Science

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    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, CEC 2009 (pp. 1849-1856). [4983166] (2009 IEEE Congress on Evolutionary Computation, CEC 2009). https://doi.org/10.1109/CEC.2009.4983166