Abstract
The research presented in this paper deals concerns interactive evolutionary design systems and specifically with the Interactive Evolutionary Design Environment (IEDE) developed by the authors. We describe the IEDE concentrating upon the three major components: Component-based Representation; Construction and Repair Agents (providing build and evolve services) and a machine learning sub-system. We also describe the clustering technique utilized within the IEDE to improve the user interactivity of the system.
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Machwe, A.T., Parmee, I.C. (2007). Towards an Interactive, Generative Design System: Integrating a ‘Build and Evolve’ Approach with Machine Learning for Complex Freeform Design. In: Giacobini, M. (eds) Applications of Evolutionary Computing. EvoWorkshops 2007. Lecture Notes in Computer Science, vol 4448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71805-5_50
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DOI: https://doi.org/10.1007/978-3-540-71805-5_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71804-8
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