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TECHNICAL PAPERS

Genetic Algorithms for Optimization of Building Envelopes and the Design and Control of HVAC Systems

[+] Author and Article Information
L. G. Caldas

Department of Civil Engineering and Architecture, Instituto Superior Técnico, Technical University of Lisbon, Av. Rovisco Pais, 1049-001 Lisbon, Portugale-mail: luisa@civil.ist.utl.pt

L. K. Norford

Massachusetts Institute of Technology, School of Architecture and Planning, Department of Architecture, 77 Massachusetts Ave., #5-418D, Cambridge, MA 02139-4301e-mail: lnorford@mit.edu

J. Sol. Energy Eng 125(3), 343-351 (Aug 04, 2003) (9 pages) doi:10.1115/1.1591803 History: Received January 01, 2003; Revised March 01, 2003; Online August 04, 2003
Copyright © 2003 by ASME
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References

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Figures

Grahic Jump Location
Dominated and non-dominated [Pareto] solutions for a maximization problem. C is dominated by A. Both A and B are non-dominated or Pareto solutions.
Grahic Jump Location
Schematic building layout for Pareto experiments
Grahic Jump Location
Pareto front for Phoenix climate
Grahic Jump Location
Pareto front for south | north apartment, for the first and hundredth generations
Grahic Jump Location
Pareto front points for generation of building form. Two views are shown for each solution, from the southwest and northeast.
Grahic Jump Location
Pareto front points. Solution 1 represents the best building shape in terms of heating. Solution 6 is the best building shape in terms of lighting. The other images represent intermediate solutions.

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