Skip to main content
Springer Nature Link
Log in

GENE_ARCH: An Evolution-Based Generative Design System for Sustainable Architecture

  • Conference paper
Intelligent Computing in Engineering and Architecture (EG-ICE 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4200))

  • 3339 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

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)

    Google Scholar 

  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)

    Google Scholar 

  3. Monks, M., Oh, B., Dorsey, J.: Audioptimization: Goal based acoustic design. IEEE Computer Graphics and Applications 20(3), 76–91 (1998)

    Article  Google Scholar 

  4. Caldas, L., Norford, L.: Energy design optimization using a genetic algorithm. Automation in Construction 11(2), 173–184 (2002)

    Article  Google Scholar 

  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)

    Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Google Scholar 

  8. Fonseca, C., Fleming, P.: Genetic Algorithms for Multiobjective Optimization: formulation, discussion and generalization. Evolutionary Computation 3(1), 1–16 (1993)

    Article  Google Scholar 

  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)

    Google Scholar 

  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)

    Google Scholar 

  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)

    Google Scholar 

  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)

    Google Scholar 

  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)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Instituto Superior Técnico, Technical University of Lisbon, Portugal

    Luisa Caldas

Authors
  1. Luisa Caldas
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Ecole Polytechnique Fédérale de Lausanne (EPFL), Station 18, 1015, Lausanne, Switzerland

    Ian F. C. Smith

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/11888598_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46246-0

  • Online ISBN: 978-3-540-46247-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics