Combining structural analysis and multi-objective criteria for evolutionary architectural design

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Title: Combining structural analysis and multi-objective criteria for evolutionary architectural design
Authors: Byrne, Jonathan
Fenton, Michael
Hemberg, Erik
McDermott, James
O'Neill, Michael
Shotton, Elizabeth
McNally, Ciaran
Permanent link: http://hdl.handle.net/10197/3546
Date: 2011
Abstract: This study evolves and categorises a population of conceptual designs by their ability to handle physical constraints. The design process involves a trade-off between form and function. The aesthetic considerations of the designer are constrained by physical considerations and material cost. In previous work, we developed a design grammar capable of evolving aesthetically pleasing designs through the use of an interactive evolutionary algorithm. This work implements a fitness function capable of applying engineering objectives to automatically evaluate designs and, in turn, reduce the search space that is presented to the user.
Funding Details: Science Foundation Ireland
Type of material: Conference Publication
Publisher: Springer
Copyright (published version): 2011 Springer
Keywords: Grammatical evolution;Evolutionary architectural design;Multi-objective
Subject LCSH: Evolutionary computation
Architectural design--Data processing
Structural design--Data processing
DOI: 10.1007/978-3-642-20520-0_21
Language: en
Status of Item: Peer reviewed
Is part of: Di Chio, Cecilia et al. (ed.). Applications of Evolutionary Computation : EvoApplications 2011: EvoCOMNET, EvoFIN, EvoHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOG, Torino, Italy, April 27-29, 2011, Proceedings, Part II
Conference Details: EvoMUSART 2011, 9th European Event on Evolutionary and Biologically Inspired Music, Sound, Art and Design in EvoApplications, Torino, Italy, Apr 27-29, 2011
Appears in Collections:Computer Science Research Collection
CASL Research Collection

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