Collaborative Evolution of 3D Models
This addresses creative design collaboration for designers, but it is incremental as it builds on existing interactive genetic algorithms.
The paper tackles the problem of creative design in 3D modeling by proposing a collaborative interactive genetic algorithm model, where designers share solutions to expand the search space; experiments show that collaborative and individual models are rated equally creative, but collaborative IGAs lead to materially different designs.
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.