Librería de Algoritmos Genéticos para Arquitectura (LAGA)

Librería de Algoritmos Genéticos para Arquitectura (LAGA)

Poblete, Carlos Ignacio de la Barrera

Article:

LAGA is an all-purpose library to create and design Genetic Algorithms (GAs). Originally the library was born as a series of GAs as a search and optimize tool for author''s PhD thesis. The originals GAs were applied to different architectural scales: Urban design, architectural design, space optimization and energy design optimization. At the beginning the algorithms were written in different platforms: Rhinoscript, C#.NET and GCScript. The author after finish his PhD, he decided to put all the algorithms in a single language. JAVA was selected to create a flexible Genetic Algorithm library to use in different platforms.

LAGA is an all-purpose library to create and design Genetic Algorithms (GAs). Originally the library was born as a series of GAs as a search and optimize tool for author''s PhD thesis. The originals GAs were applied to different architectural scales: Urban design, architectural design, space optimization and energy design optimization. At the beginning the algorithms were written in different platforms: Rhinoscript, C#.NET and GCScript. The author after finish his PhD, he decided to put all the algorithms in a single language. JAVA was selected to create a flexible Genetic Algorithm library to use in different platforms.

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DOI: 10.5151/despro-sigradi2013-0064

Referências bibliográficas

• [1] Balmond, C. (2002). Informal. London, UK: Prestel London.
• [2] Koza, J. (1996). Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge: MIT Press..
• [3] Mitchell, M. (1998). An Introduction to Genetic Algorithms, Cambridge, Massachusetts: A Bradford Book The MIT Press.
• [4] Coello, C., Toscano, G. (2001). A Micro Genetic Algorihm for Multiobjetive Optimizacion: First Internacional Conference on Evolutionary MultiCriterion Optimization. Zurich: Springer Verlag.
• [5] Goldberg, D. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning. New York: Addison-Wesley.
• [6] Holland, J. (1975). Adaptation in Natural and Artificial Systems, (An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence). Cambridge, London: MIT Press.
• [7] Librería de Algoritmos Genéticos para Arquitectura. Retrieved from https://code.google.com/p/laga/

Como citar:

Poblete, Carlos Ignacio de la Barrera; "Librería de Algoritmos Genéticos para Arquitectura (LAGA)", p-338-342. In: Proceedings of the XVII Conference of the Iberoamerican Society of Digital Graphics: Knowledge-based Design [=Blucher Design Proceedings, v.1, n.7]. São Paulo: Blucher, 2014.
ISSN 23186968, DOI 10.5151/despro-sigradi2013-0064