Evolutionary design using grammatical evolution and shape grammars : designing a shelter

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Title: Evolutionary design using grammatical evolution and shape grammars : designing a shelter
Authors: O'Neill, Michael
McDermott, James
Swafford, John Mark
Byrne, Jonathan
Hemberg, Erik
Brabazon, Anthony
Shotton, Elizabeth
McNally, Ciaran
Hemberg, Martin
Permanent link: http://hdl.handle.net/10197/2541
Date: 24-Apr-2010
Abstract: A new evolutionary design tool is presented, which uses shape grammars and a grammar-based form of evolutionary computation, grammatical evolution (GE). Shape grammars allow the user to specify possible forms, and GE allows forms to be iteratively selected, recombined and mutated: this is shown to be a powerful combination of techniques. The potential of GE and shape grammars for evolutionary design is examined by attempting to design a single-person shelter to be evaluated by collaborators from the University College Dublin School of Architecture, Landscape, and Engineering. The team was able to successfully generate conceptual shelter designs based on scrutiny from the collaborators. A number of avenues for future work are highlighted arising from the case study.
Funding Details: Science Foundation Ireland
Irish Research Council for Science, Engineering and Technology
Type of material: Journal Article
Publisher: Inderscience Enterprises
Copyright (published version): 2010 Inderscience Enterprises Ltd.
Keywords: Evolutionary design;Architecture;Grammatical evolution;Shape grammars;Genetic programming;Evolutionary computation
Subject LCSH: Design
Architecture
Genetic programming (Computer science)
Evolutionary programming (Computer science)
DOI: 10.1504/IJDE.2010.032820
Language: en
Status of Item: Peer reviewed
Appears in Collections:Computer Science Research Collection
CASL Research Collection
Architecture, Planning and Environmental Policy Research Collection

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