3-D modeling using collaborative evolution

Juan C. Quiroz*, Amit Banerjee, Sushil J. Louis

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

We present an implementation of a framework for creative design based on collaborative interactive genetic algorithms. The hypothesis is that creative designs can be produced if the design search space can be continuously expanded not just by modifying the values of variables but also by adding new ones. The framework presented herein transforms well-formed 3D models by evolving vertex programs, and allows designers to collaborate with peers by injecting solutions from their peers into their own populations. 3D models were created individually and collaboratively, and an evaluation of the individually versus collaboratively evolved 3D models showed that the majority of the evaluation participants rated the collaboratively evolved models as more creative.

Original languageEnglish
Title of host publicationGECCO'12
Subtitle of host publicationProceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion
PublisherAssociation for Computing Machinery, Inc
Pages653-654
Number of pages2
ISBN (Print)9781450311786
DOIs
Publication statusPublished - 20 Aug 2012
Externally publishedYes
Event14th International Conference on Genetic and Evolutionary Computation, GECCO'12 - Philadelphia, PA, United States
Duration: 7 Jul 201211 Jul 2012

Conference

Conference14th International Conference on Genetic and Evolutionary Computation, GECCO'12
CountryUnited States
CityPhiladelphia, PA
Period7/07/1211/07/12

Keywords

  • Collaboration
  • Creative design
  • Interactive genetic algorithm

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  • Cite this

    Quiroz, J. C., Banerjee, A., & Louis, S. J. (2012). 3-D modeling using collaborative evolution. In GECCO'12: Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion (pp. 653-654). Association for Computing Machinery, Inc. https://doi.org/10.1145/2330784.2330905