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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 64
Edited by: B.H.V. Topping
Paper II.2

Development of Efficient Integral Method using Quasi-Random Number and Genetic Algorithm

A.S. Matsuho+ and D.M. Frangopol*

+Department of Advanced Engineering, Anan National College of Technology, Anan-shi, Japan
*Department of Civil, Environmental and Architectural Engineering, University of Colorado, Boulder, Colorado, United States of America

Full Bibliographic Reference for this paper
A.S. Matsuho, D.M. Frangopol, "Development of Efficient Integral Method using Quasi-Random Number and Genetic Algorithm", in B.H.V. Topping, (Editor), "Computational Engineering using Metaphors from Nature", Civil-Comp Press, Edinburgh, UK, pp 85-89, 2000. doi:10.4203/ccp.64.2.2
This study presents an efficient integral method based on quasirandom numbers and genetic algorithm (GA). The method determines a set of coefficients, so as to minimize the error between the estimated value and its strict solution. In this study, this set of coefficients is determined by using a powerful optimization method based on CA. Effectiveness of the proposed method is demonstrated through several numerical examples.

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