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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

doi:10.4203/ccp.64.2.2

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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

Abstract

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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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 64 COMPUTATIONAL ENGINEERING USING METAPHORS FROM NATURE 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 doi:10.4203/ccp.64.2.2 purchase the full-text of this paper 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 Abstract 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. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £52 +P&P)
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