Introduction to creative evolutionary systems
Creative evolutionary systems
Creativity in evolution: individuals, interactions, and environments
Creative evolutionary systems
Evolutionary Design by Computers with CDrom
Evolutionary Design by Computers with CDrom
Evolutionary Algorithms in Engineering Applications
Evolutionary Algorithms in Engineering Applications
Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
Design through Digital Interaction
Design through Digital Interaction
Supporting creative design in a visual evolutionary computing environment
Advances in Engineering Software
Aesthetic measures for automated document layout
Proceedings of the 2004 ACM symposium on Document engineering
Artificial Intelligence for Engineering Design, Analysis and Manufacturing - Special Issue: Design Spaces: The Explicit Representation of Spaces of Alternatives
Generative Design Supported by Tree Based Genetic Algorithm
CIT '06 Proceedings of the Sixth IEEE International Conference on Computer and Information Technology
Capturing aesthetic intention during interactive evolution
Computer-Aided Design
Playing to learn: case-injected genetic algorithms for learning to play computer games
IEEE Transactions on Evolutionary Computation
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The role of collaboration in the realm of social creativity has been the focus of cutting edge research in design studies. In this paper, the authors investigate the role of collaboration in the process of creative design and propose a computational model of creativity based on the newly proposed meta-design approach. Meta-design is a unique participatory approach to design that deals with opening up of design solution spaces, and is aimed at creating a viable social platform for collaborative design. A meta-design-based collaborative approach to the design process may achieve ET-creativity by expanding the conceptual space of design beyond what would have been possible by individual, non-collaborative design. The model has been implemented using interactive genetic algorithms, which casts the design problem as an optimization problem and uses a set of collaborative users for subjective fitness evaluation. The design problems investigated include the collaborative design of architectural floorplans and editorial design of brochures.