Grammatical evolution of shape and its application to structural shape optimisation
Grammatical evolution of shape and its application to structural shape optimisation
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.
shape optimisation, shape grammar, design, genetic programming, grammatical evolution, evolutionary computation, backus-naur form
187-199
Nasuf, A.
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Bhaskar, A.
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Keane, A.J.
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1 July 2013
Nasuf, A.
3ad728c9-5f42-4f94-a100-92b309ded720
Bhaskar, A.
d4122e7c-5bf3-415f-9846-5b0fed645f3e
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Nasuf, A., Bhaskar, A. and Keane, A.J.
(2013)
Grammatical evolution of shape and its application to structural shape optimisation.
Structural and Multidisciplinary Optimization, 48 (1), .
(doi:10.1007/s00158-013-0890-0).
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.
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Published date: 1 July 2013
Keywords:
shape optimisation, shape grammar, design, genetic programming, grammatical evolution, evolutionary computation, backus-naur form
Organisations:
Aeronautics, Astronautics & Comp. Eng
Identifiers
Local EPrints ID: 362249
URI: http://eprints.soton.ac.uk/id/eprint/362249
ISSN: 1615-147X
PURE UUID: dc4d4343-f893-428f-8d01-ff320a4afef8
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Date deposited: 19 Feb 2014 13:46
Last modified: 15 Mar 2024 02:52
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Author:
A. Nasuf
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