Adaptive enlargement of state spaces in evolutionary designing
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Towards creative design using collaborative interactive genetic algorithms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
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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.