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This paper presents a novel Generative Design System that applies goal-oriented techniques to help architects in the creation of low-energy architectural solutions. The system uses a Genetic Algorithm as a search engine, and the DOE2.1E building simulation software as the evaluation module. Three different applications are discussed. The first section researches the incorporation of architecture design intentions into the generative system, using a building by architect Alvaro Siza as an experimental platform. In the second part, the system capabilities are expanded to handle multi-criteria problems, resorting to Pareto optimization concepts. Finally, the system is applied to three-dimensional shape generation, to investigate formal configurations with a high degree of adaptation to the exterior environment.

Additional information

Authors: CALDAS L G, Instituto Superior Técnico, Lisboa (PT)
Bibliographic Reference: A paper published in "Improvement of buildings' structural quality by new technologies": Proceedings of the international seminar, Lisbon, 19 and 20 April 2002. EUR 20728. pp.177-194. Euro: 35
Availability: EUR-OP reference: KI-NA-20728-EN-C Available from EUR-OP sales agents URL: Most papers are also available on COST C12 website at:
ISBN: ISBN: 92-894-5684-1
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