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

Author(s)
Byrne, Jonathan  
Fenton, Michael  
Hemberg, Erik  
McDermott, James  
O'Neill, Michael  
Shotton, Elizabeth  
McNally, Ciaran  
Uri
http://hdl.handle.net/10197/3546
Date Issued
2011
Date Available
2012-03-29T16:08:20Z
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.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
2011 Springer
Subjects

Grammatical evolution...

Evolutionary architec...

Multi-objective

Subject – LCSH
Evolutionary computation
Architectural design--Data processing
Structural design--Data processing
DOI
10.1007/978-3-642-20520-0_21
Web versions
http://dx.doi.org/10.1007/978-3-642-20520-0_21
Language
English
Status of Item
Peer reviewed
Journal
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
ISBN
978-3-642-20519-4
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
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articleversion-1.pdf

Size

348.91 KB

Format

Adobe PDF

Checksum (MD5)

0e3128c600e75f1e12660d25d4f7b608

Owning collection
Computer Science Research Collection
Mapped collections
CASL Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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