Towards creative design using collaborative interactive genetic algorithms

Authors:
Juan C. Quiroz;Sushil J. Louis;Amit Banerjee;Sergiu M. Dascalu
Affiliations:
Evolutionary Computing Systems Lab, Department of Computer Science & Engineering, University of Nevada, Reno, NV;Evolutionary Computing Systems Lab, Department of Computer Science & Engineering, University of Nevada, Reno, NV;School of Science, Engineering and Technology, The Pennsylvania State University at Harrisburg, Middletown, PA;Evolutionary Computing Systems Lab, Department of Computer Science & Engineering, University of Nevada, Reno, NV
Venue:
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Year:
2009

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Abstract

We present a computational model of creative design based on collaborative interactive genetic algorithms. We test our model on floorplanning. We guide the evolution of floorplans based on subjective and objective criteria. The subjective criteria consists of designers picking the floorplan they like the best from a population of floorplans, and the objective criteria consists of coded architectural guidelines. We support collaboration by allowing individual designers to view each others' designs during the evolutionary process and the sharing of designs via case injection. This methodology supports team design, and reflects the view of creativity that collaboration accounts for much of our intelligence and creativity. We present a description of the model and a comparative study of floorplans created individually versus collaboratively. Our results show that floorplans created collaboratively were considered to be more "revolutionary" and "original" than those created individually.