| id |
ijac20031402 |
| authors |
Caldas, Luisa G.; Norford, Leslie K. |
| year |
2003 |
| title |
Shape Generation Using Pareto Genetic Algorithms: Integrating Conflicting Design Objectives in Low-Energy Architecture |
| source |
International Journal of Architectural Computing vol. 1 - no. 4 |
| summary |
The Generative Design System [GDS] presented in this paper was developed to assist designers in researching low-energy architecture solutions. The GDS has the capability to evolve architectural forms that are energy-efficient, while complying to design intentions expressed by the architect and responding to conflicting objectives. To achieve this evolutionary development, the system integrates a search and optimization method [Genetic Algorithm], building energy simulation software [DOE2.1E], and Pareto multicriteria optimization techniques. The GDS adaptively generates populations of alternative solutions, from an initial schematic layout and a set of rules and constraints designed by the architect to encode design intentions. The two conflicting objective functions considered in this paper are maximizing daylighting use and minimizing energy consumption for conditioning the building. The GDS generated an uniformly sampled, continuous Pareto front, from which six points were visualized in terms of the proposed architectural solutions. |
| series |
journal |
| more |
http://www.multi-science.co.uk/ijac.htm |
| full text |
 file.pdf (933,519 bytes) |
| references |
Content-type: text/plain
|
Cagan, J. and Mitchell, W.J. (1993)
 Optimally directed shape generation by shape annealing
, Environment and Planning B, 1993, 20: pp. 5-12
|
|
|
|
|
Caldas, L. and Norford, L. (2002)
Energy design optimization using a genetic algorithm
, Automation in Construction, 2002, Vol.11, No.2, pp. 173-184
|
|
|
|
|
Caldas, L. and Rocha, J. (2001)
A Generative Design System Applied to Siza’s School of Architecture at Oporto
, Proceedings of CAADRIA’01, Sydney, April 19-21, 2001, pp. 253-264
|
|
|
|
|
Caldas, L. (2002)
Evolving three-dimensional architecture form: An application to low-energy design
, Gero, J., ed., Artificial Intelligence in Design 2002, Kluwer Publishers, The Netherlands
|
|
|
|
|
Fonseca, C. and Fleming, P. (1993)
Genetic Algorithms for Multiobjective Optimization: formulation, discussion and generalization
, Evolutionary Computation, 1993, Vol.3, No.1, pp. 1-16
|
|
|
|
|
Horn, J., Nafpliotis, N., and Goldberg, D. (1994)
Niched Pareto Genetic Algorithm for Multiobjective Optimization
, Proceedings of the 1st IEEE Conference on Evolutionary Computation, Part 1, 1994, Jun 27-29, Orlando, FL: pp. 82-87
|
|
|
|
|
Monks, M, Oh, B and Dorsey, J (1998)
Audioptimization: Goal based acoustic design
, MIT Technical Report MIT-LCS-TM-588
|
|
|
|
|
Shea, K. and Cagan J. (1998)
Generating Structural Essays from Languages of Discrete Structures
, Gero, J. and Sudweeks, F., eds., Artificial Intelligence in Design 1998, Kluwer Academic Publishers, London, pp. 365-404
|
|
|
|
| last changed |
2007/03/04 07:08 |
|
