Abstract
GENE_ARCH is an evolution-based Generative Design System that uses adaptation to shape energy-efficient and sustainable architectural solutions. The system applies goal-oriented design, combining a Genetic Algorithm (GA) as the search engine, with DOE2.1E building simulation software as the evaluation module. The GA can work either as a standard GA or as a Pareto GA, for multicriteria optimization. In order to provide a full view of the capacities of the software, different applications are discussed: 1) Standard GA: testing of the software; 2) Standard GA: incorporation of architecture design intentions, using a building by architect Alvaro Siza; 3) Pareto GA: choice of construction materials, considering cost, building energy use, and embodied energy; 4) Pareto GA: application to Siza’s building; 5) Standard GA: Shape generation with single objective function; 6) Pareto GA: shape generation with multicriteria; 7) Pareto GA: application to an urban and housing context. Overall conclusions from the different applications are discussed.
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References
Caldas, L.G.: An Evolution-Based Generative Design System: Using Adaptation to Shape Architectural Form, Ph.D. Dissertation in Architecture: Building Technology. MIT (2001)
Shea, K., Cagan, J.: Generating Structural Essays from Languages of Discrete Structures. In: Gero, J., Sudweeks, F. (eds.) Artificial Intelligence in Design 1998, pp. 365–404. Kluwer Academic Publishers, London (1998)
Monks, M., Oh, B., Dorsey, J.: Audioptimization: Goal based acoustic design. IEEE Computer Graphics and Applications 20(3), 76–91 (1998)
Caldas, L., Norford, L.: Energy design optimization using a genetic algorithm. Automation in Construction 11(2), 173–184 (2002)
Krishnakumar, K.: Micro-genetic algorithms for stationary and non-stationary function optimization. In: Rodriguez, G. (ed.) Intelligent Control and Adaptive Systems. SPIE– The International Society for Optical Engineering, November 7-8, Philadelphia, pp. 289–296 (1989)
Caldas, L., Norford, L., Rocha, J.: An Evolutionary Model for Sustainable Design. Management of Environmental Quality: An Int. Journal 14(3), 383–397 (2003)
Caldas, L.: Pareto Genetic Algorithms in Architecture Design: An Application to Multicriteria Optimization Problems. In: Proceedings of PLEA 2002, Toulouse, France, July 2002, pp. 37–45 (2002)
Fonseca, C., Fleming, P.: Genetic Algorithms for Multiobjective Optimization: formulation, discussion and generalization. Evolutionary Computation 3(1), 1–16 (1993)
Horn, J., Nafpliotis, N., Goldberg, D.: Niched Pareto Genetic Algorithm for Multiobjective Optimization. In: Proceedings of the 1st IEEE Conference on Evolutionary Computation, Part 1, Orlando, FL, June 27-29, pp. 82–87 (1994)
Caldas, L.: Evolving Three-Dimensional Architecture Form: An Application to Low-Energy Design. In: Gero, J. (ed.) Artificial Intelligence in Design 2002, pp. 351–370. Kluwer Publishers, The Netherlands (2002)
Caldas, L.: Three-Dimensional Shape Generation of Low-Energy Architecture Solutions using Pareto GA’s. In: Proceedings of ECAADE 2005, Lisbon, September 21-24, pp. 647–654 (2005)
Duarte, J., Rocha, J., Ducla-Soares, G., Caldas, L.: An Urban Grammar for the Medina of Marrakech: A Tool for the Design of Cities in Developing Countries. In: Proceedings of Design Computing and Cognition 2006 (2006) (accepted for publications)
Duarte, J., Rocha, J., Ducla-Soares, G.: A Patio-house Shape Grammar for the Medina of Marrakech. In: Proceedings of ECAADE 2006 (2006) (accepted for publications)
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Caldas, L. (2006). GENE_ARCH: An Evolution-Based Generative Design System for Sustainable Architecture. In: Smith, I.F.C. (eds) Intelligent Computing in Engineering and Architecture. EG-ICE 2006. Lecture Notes in Computer Science(), vol 4200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11888598_12
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DOI: https://doi.org/10.1007/11888598_12
Publisher Name: Springer, Berlin, Heidelberg
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