Search in Artificial Intelligence
Search in Artificial Intelligence
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Creative design and the generative evolutionary paradigm
Creative evolutionary systems
Evolutionary Design by Computers with CDrom
Evolutionary Design by Computers with CDrom
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Visual models of morphogenesis
Artificial Life
Integrating generative growth and evolutionary computation for form exploration
Genetic Programming and Evolvable Machines
Plastic surgery and genetic re-engineering in evolutionary design
EC'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Evolutionary Computing - Volume 8
Evolving product form designs using parametric shape grammars integrated with genetic programming
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
The ERI-Designer: A Computer Model for the Arrangement of Furniture
Minds and Machines
An evo-devo approach to architectural design
Proceedings of the 14th annual conference on Genetic and evolutionary computation
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Design tools that aim not only to analyse and evaluate, but also to generate and explore alternative design proposals are now under development. An evolutionary paradigm is presented as a basis for creating such tools. First, the evolutionary paradigm is shown to be the only successful design system on which this new phase of design tool could be based. Secondly, any characterisation of design as a search problem is argued to be a serious misconception. Instead it is proposed that evolutionary design systems should be seen as generative processes that are able to evaluate their own output. Thirdly, a generic framework for generative evolutionary design systems is presented. Fourth, the generative process is introduced as a key element within this generic framework. The role of the environment within this process is fundamental. Finally, the direction of future research within the evolutionary design paradigm is discussed with possible short and long term goals being presented.