Abstract
We present a computational model of creative design based on collaborative interactive genetic algorithms. In our model, designers individually guide interactive genetic algorithms (IGAs) to generate and explore potential design solutions quickly. Collaboration is supported by allowing designers to share solutions amongst each other while using IGAs, with the sharing of solutions adding variables to the search space. We present experiments on 3D modeling as a case study, with designers creating model transformations individually and collaboratively. The transformations were evaluated by participants in surveys and results show that individual and collaborative models were considered equally creative. However, the use of our collaborative IGAs model materially changes resulting designs compared to individual IGAs.
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© 2015 Springer International Publishing Switzerland
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Quiroz, J.C., Banerjee, A., Louis, S.J., Dascalu, S.M. (2015). Collaborative Evolution of 3D Models. In: Gero, J., Hanna, S. (eds) Design Computing and Cognition '14. Springer, Cham. https://doi.org/10.1007/978-3-319-14956-1_28
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DOI: https://doi.org/10.1007/978-3-319-14956-1_28
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14955-4
Online ISBN: 978-3-319-14956-1
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