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 language | English |
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Title of host publication | GECCO'12 |
Subtitle of host publication | Proceedings of the 14th International Conference on Genetic and Evolutionary Computation Companion |
Publisher | Association for Computing Machinery, Inc |
Pages | 653-654 |
Number of pages | 2 |
ISBN (Print) | 9781450311786 |
DOIs | |
Publication status | Published - 20 Aug 2012 |
Externally published | Yes |
Event | 14th International Conference on Genetic and Evolutionary Computation, GECCO'12 - Philadelphia, PA, United States Duration: 7 Jul 2012 → 11 Jul 2012 |
Conference
Conference | 14th International Conference on Genetic and Evolutionary Computation, GECCO'12 |
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Country/Territory | United States |
City | Philadelphia, PA |
Period | 7/07/12 → 11/07/12 |
Keywords
- Collaboration
- Creative design
- Interactive genetic algorithm