GENE ARCH: An Evolution-Based Generative Design System for Sustainable Architecture: Unterschied zwischen den Versionen
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== Reference == | == Reference == | ||
| − | Luisa Caldas: [[GENE_ARCH: An Evolution-Based Generative Design System for Sustainable Architecture]], in | + | Luisa Caldas: [[GENE_ARCH: An Evolution-Based Generative Design System for Sustainable Architecture]], in I.F.C. Smith (Ed.): Intelligent Computing in Engineering and Architecture EG-ICE, LNAI 4200, pp. 109-118, Springer-Verlag Berlin Heidelberg, 2006. |
== DOI == | == DOI == | ||
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== Abstract == | == 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. | |
== Extended Abstract == | == Extended Abstract == | ||
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== Used References == | == Used References == | ||
| + | 1. Caldas, L.G.: [[An Evolution-Based Generative Design System: Using Adaptation to Shape Architectural Form]], Ph.D. Dissertation in Architecture: Building Technology. MIT (2001) | ||
| + | |||
| + | 2. 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) | ||
| + | |||
| + | 3. Monks, M., Oh, B., Dorsey, J.: Audioptimization: Goal based acoustic design. IEEE Computer Graphics and Applications 20(3), 76–91 (1998) http://dx.doi.org/10.1109/38.844375 | ||
| + | |||
| + | 4. Caldas, L., Norford, L.: Energy design optimization using a genetic algorithm. Automation in Construction 11(2), 173–184 (2002) http://dx.doi.org/10.1016/S0926-5805(00)00096-0 | ||
| + | |||
| + | 5. 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) | ||
| + | |||
| + | 6. Caldas, L., Norford, L., Rocha, J.: An Evolutionary Model for Sustainable Design. Management of Environmental Quality: An Int. Journal 14(3), 383–397 (2003) http://dx.doi.org/10.1108/14777830310479450 | ||
| + | |||
| + | 7. 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) | ||
| + | |||
| + | 8. Fonseca, C., Fleming, P.: Genetic Algorithms for Multiobjective Optimization: formulation, discussion and generalization. Evolutionary Computation 3(1), 1–16 (1993) http://dx.doi.org/10.1162/evco.1995.3.1.1 | ||
| + | |||
| + | 9. 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) | ||
| + | |||
| + | 10. 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) | ||
| + | |||
| + | 11. 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) | ||
| + | |||
| + | 12. 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) | ||
| + | 13. 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) | ||
Aktuelle Version vom 18. November 2015, 12:26 Uhr
Inhaltsverzeichnis
Reference
Luisa Caldas: GENE_ARCH: An Evolution-Based Generative Design System for Sustainable Architecture, in I.F.C. Smith (Ed.): Intelligent Computing in Engineering and Architecture EG-ICE, LNAI 4200, pp. 109-118, Springer-Verlag Berlin Heidelberg, 2006.
DOI
http://link.springer.com/chapter/10.1007%2F11888598_12
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.
Extended Abstract
Bibtex
@incollection{
year={2006},
isbn={978-3-540-46246-0},
booktitle={Intelligent Computing in Engineering and Architecture},
volume={4200},
series={Lecture Notes in Computer Science},
editor={Smith, IanF.C.},
doi={10.1007/11888598_12},
title={GENE_ARCH: An Evolution-Based Generative Design System for Sustainable Architecture},
url={http://dx.doi.org/10.1007/11888598_12, http://de.evo-art.org/index.php?title=GENE_ARCH:_An_Evolution-Based_Generative_Design_System_for_Sustainable_Architecture },
publisher={Springer Berlin Heidelberg},
author={Caldas, Luisa},
pages={109-118},
language={English}
}
Used References
1. Caldas, L.G.: An Evolution-Based Generative Design System: Using Adaptation to Shape Architectural Form, Ph.D. Dissertation in Architecture: Building Technology. MIT (2001)
2. 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)
3. Monks, M., Oh, B., Dorsey, J.: Audioptimization: Goal based acoustic design. IEEE Computer Graphics and Applications 20(3), 76–91 (1998) http://dx.doi.org/10.1109/38.844375
4. Caldas, L., Norford, L.: Energy design optimization using a genetic algorithm. Automation in Construction 11(2), 173–184 (2002) http://dx.doi.org/10.1016/S0926-5805(00)00096-0
5. 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)
6. Caldas, L., Norford, L., Rocha, J.: An Evolutionary Model for Sustainable Design. Management of Environmental Quality: An Int. Journal 14(3), 383–397 (2003) http://dx.doi.org/10.1108/14777830310479450
7. 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)
8. Fonseca, C., Fleming, P.: Genetic Algorithms for Multiobjective Optimization: formulation, discussion and generalization. Evolutionary Computation 3(1), 1–16 (1993) http://dx.doi.org/10.1162/evco.1995.3.1.1
9. 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)
10. 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)
11. 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)
12. 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)
13. 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)
