Grammatical evolution of shape and its application to structural shape optimisation

Authors:
Alkin Nasuf;Atul Bhaskar;Andy J. Keane
Affiliations:
Faculty of Engineering and the Environment, University of Southampton, Southampton, UK SO17 1BJ;Faculty of Engineering and the Environment, University of Southampton, Southampton, UK SO17 1BJ;Faculty of Engineering and the Environment, University of Southampton, Southampton, UK SO17 1BJ
Venue:
Structural and Multidisciplinary Optimization
Year:
2013

Citing 5
Cited 0

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Abstract

We propose an automated shape generative framework, which provides an alternative way of exploring the design space in a structural mechanics context. The framework presented uses "blind" evolutionary intelligence to synthesise shape grammar sentences i.e. Grammatical Evolution (GE), where rules are selected by a Genetic Algorithm (GA). This is a novel approach to automate the Shape Grammar (SG) formalism. We then present an application of a grammar based shape generative framework to solve a 2D design optimisation problem. This involves synthesis of parametric 2D curves where the shape grammar primitives are introduced as arcs represented by rotation and a radius. The efficacy of the proposed shape generative framework is then compared with that of Non-Uniform Rational B-Splines (NURBS) parametrisation for structural optimisation.