Towards an Interactive, Generative Design System: Integrating a `Build and Evolve' Approach with Machine Learning for Complex Freeform Design

Authors:
Azahar T. Machwe;Ian C. Parmee
Affiliations:
ACDDM Lab, Faculty of CEMS, University of the West of England, Frenchay Campus, Bristol,BS16 1QY, United Kingdom;ACDDM Lab, Faculty of CEMS, University of the West of England, Frenchay Campus, Bristol,BS16 1QY, United Kingdom
Venue:
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Year:
2009

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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.