| id |
ecaade2013r_011 |
| authors |
Varela, Pedro |
| year |
2013 |
| title |
Genetic algorithms in architecture. History and relevance |
| source |
FUTURE TRADITIONS [1st eCAADe Regional International Workshop Proceedings / ISBN 978-989-8527-03-5], University of Porto, Faculty of Architecture (Portugal), 4-5 April 2013, pp. 133-142 |
| summary |
This work has its goal in clarifying hypothesis in using search computational power in the form of genetic algo-rithms to find geometric solutions while designing architecture. We will start by roughly explaining the fundamen-tals of this type of algorithms and its mechanics and ensue by exploring some uses of this technology in architecture. A clear separation between the traditional self-builder and the architect as a profession, in their ways of designing, cannot be denied. Christopher Alexander has a clear view on the mechanics behind these processes, in which repeti-tion over time drives perfection and self-awareness in error detection. Some years before Alexander, computation brought technological possibilities of brute force solution finding, only to be “evolved” into evolutionary strategies – as predicted by Turing. Bringing biology and genetics concepts into the fields of computation, Holland creates ge-netic algorithms, a simulation of the laws of Mendel and Darwin applied to solutions finding. Architecture design, in its pursuit of finding good project solutions, started using these computing strategies recently. Over the last years, the complexity of design levels in which these algorithms have been applied has increased steadily, giving us a glimpse of the future of computing architecture. |
| keywords |
Genetic Algorithms; Evolutionary; Bottom-up; Computation; History |
| email |
|
| full text |
 file.pdf (566,151 bytes) |
| references |
Content-type: text/plain
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Chouchoulas, Orestes (2003)
 Shape evolution: an algorithmic method for conceptual architectural design combining shape grammars and genetic algorithms
, Diss. University of Bath
|
|
|
|
|
Coates, Paul (2010)
Programming. architecture
, Routledge
|
|
|
|
|
Hensel, Michael, Achim Menges, and Michael Weinstock (2004)
Emergence: morphogenetic design strategies
, Chichester: Wiley-Academy
|
|
|
|
|
Holland, John H. (1975)
Adaptation in natural and artificial systems
, University of Michigan press, Ann Arbor, MI 1.97: 5
|
|
|
|
|
Hovestadt, Ludger (2010)
Beyond the Grid: Architecture and Information Technology Applications of Digital Architectonic
, Birkhäuser, 2010
|
|
|
|
|
Melanie, Mitchell (1999)
An introduction to genetic algorithms
, Cambridge, Massachusetts London, England, Fifth printing
|
|
|
|
|
Roudavski, Stanislav (2009)
Towards morphogenesis in architecture
, International Journal of Architectural Computing 7.3 (2009): 368
|
|
|
|
|
Watson J.D. and Crick F.H.C. (1953)
Structure for Deoxyribose Nucleic Acid
, Nature 171 (4356): 737–738
|
|
|
|
|
Weinstock, Michael (2004)
Morphogenesis and the mathematics of emergence
, Architectural design 3: 10-17
|
|
|
|
|
Wiener, Norbert (1948)
Cybernetics, or Communication and Control in the Animal and the Machine
, Cambridge: MIT Press
|
|
|
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| last changed |
2013/10/07 19:08 |
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