Abstract
Genetic Algorithms (GAs) and structured Genetic Algorithms (sGAs) are powerful tools for modelling some of the activities related to the conceptual stage of the design process. Artificial Neural Networks (ANNs) are Artificial Intelligence (AI) tools which can learn and generalise from examples and experience to produce meaningful solutions to problems even when input data is fuzzy, discontinuous or is incomplete. Human creativity, intuition and expertise can be combined and incorporated when training ANNs. Research has shown that the ANN can be a powerful tool for modelling some of the activities of the conceptual stage of the design process. The current paper investigates possibilities of integrating the sGA and the ANN in the context of a decision support tool to assist designers.
Preview
Unable to display preview. Download preview PDF.
References
Mathews, J. D., and Rafiq, M. Y., “Adoptive Search for Decision Support in the Preliminary Design of Structural Systems”, First International Conference on Adaptive Computing in Engineering Design and Control, Plymouth, 1994.
Mathews, J. D., Rafiq, M. Y., and Parmee, I., “Adaptive search to assist in the conceptual design of concrete buildings”, Civil-Comp95, Sixth International Conference on Civil and Structural Engineering Computing, Cambridge, ED B. H. V., Topping, Civil Comp Press Edinburgh, pp 179–187, August 1995.
Bullock, G. N. B., Denham, M. J., Parmee I. C., and Wade, J. G., “Developments in the use of the genetic algorithms in engineering design”, Design Studies, Vol. 16, No. 4, October 1995, pp 507–524.
Rafiq, M. Y., and Mathews, J. D., “An Integrated Approach to Structural Design of Building Using Genetic Algorithms”, 2nd World Conference on Integrated Design and Proces Technology, IDPT-Vol. 3, Eds Esat, I. I., Ventiali, F., Rasty, J., Gransberg, D. D., and Ertas, A., pp 84–90, 1996.
Parmee, I. C., “High Level Decision-Support for Engineering Design Using the Genetic Algorithm and Complementary Techniques”, in, Proceedings of Applied Decision Technologies, Brunei Conference Centre, London, 1995.
Rafiq, M. Y., “ Optimum Building Concept Generation and Integration of Design Process Using a Structured Genetic Algorithm”, Proceeding of the World-wide ECCE Symposium, in the Practice of Building and Civil Engineering, pp 117–121, September 1997.
Rafiq, M. Y., and Easterbrook, D. J., “Artificial Neural Networks for Modelling Some of the Activities of the Conceptual Stage of the Design Process”, submitted to the ASCE Computing Congress, 1998.
Goldberg, D.E., “Genetic Algorithms in Search, Optimisation, and Machine Learning”, Addison-Wesley, Reading, MA, 1989.
Davis L., “Handbook of Genetic Algorithms ”, Van Nostrand Reinhold, New York, 1991
Jenkins, W. M., “Structural Optimisation With the Genetic Algorithms”, The Structural Engineer, Vol. 69, No. 24, pp 418–422, 1991.
Rafiq, M. Y. “Genetic Algorithms in Optimum Design, Capacity check and Detailing of Reinforced Concrete Columns”, Proc. Opti 95: 4th Int. Conf. on Computer Aided Optimum Design of Structures, pp 161–169, 1995.
Grierson, D. E. and Pak, W. H., “Optimal Sizing, Geometrical and Topological Design using a Genetic Algorithm”, Structural Optimization, Spring-Verlag, Vol. 6, pp 115–159, 1993.
Dasgupta, D., and MacGregor, R., ‘Structured genetic algorithms', Research report IKBS2-19, University of Strathclyde, Glasgow, Scotland, 1991
Rafiq, M. Y., “A Design Support Tool for Optimum Building Concept Generation Using a structured Genetic Algorithm”, accepted for publication in the International Journal of Computer-Integrated Design and Construction.
Roberts, A., Wade, G, “Optimisation of Finite Word length Filters Using a Genetic Algorithm”, Proc. Adaptive Computing in Engineering Design and Control, Plymouth UK Parmee IC editor, 37–43, 1994.
Parmee, I. C., “The Development of a Dual-Agent Strategy for Efficient Search Across Whole System Engineering Design Hierarchy”, Forth International Conference on Parallel Problem Solving from Nature, Berlin, Germany, September 22–27, 1996.
Eberhart, R. C., and Dobbins, R. W., “Neural Network PC Tools”, Academic, San-Diego, 1990.
Caudill, M., “Neural Network Primer”, Al Expert, a series of articles from December 1987 to May 1989
Hajela, P. and Berke, L., “Neurobiological Computational Models in Structural Analysis and Design ”, Computers and Structures, Vol. 41, No. 4, pp 657–667, 1991.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Rafiq, M.Y., Williams, C. (1998). An investigation into the integration of neural networks with the structured genetic algorithm to aid conceptual design. In: Smith, I. (eds) Artificial Intelligence in Structural Engineering. Lecture Notes in Computer Science, vol 1454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030458
Download citation
DOI: https://doi.org/10.1007/BFb0030458
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-64806-2
Online ISBN: 978-3-540-68593-7
eBook Packages: Springer Book Archive