Computational Technology Resources - CCP

D.E. Grierson

Civil Engineering Department, University of Waterloo, Ontario, Canada

doi:10.4203/ccp.38.4.1

D.E. Grierson, "Automated Conceptual Design of Structural Systems", in B.H.V. Topping, (Editor), "Advances in Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, pp 157-161, 1996. doi:10.4203/ccp.38.4.1

Abstract

The paper proposes coupling a genetic algorithm with a neural network to create a computer-automated procedure for conceptual design that uses directed random search guided by artificial learning to generate best-concept design solutions. The first part of the paper illustrates the basic features of the computational model through reference to the conceptual design of a building structural system. The latter part of the paper discusses a number of information processing issues central to the effective operation of the proposed model.

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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: 38 ADVANCES IN COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: B.H.V. Topping Paper IV.1 Automated Conceptual Design of Structural Systems D.E. Grierson Civil Engineering Department, University of Waterloo, Ontario, Canada doi:10.4203/ccp.38.4.1 purchase the full-text of this paper Full Bibliographic Reference for this paper D.E. Grierson, "Automated Conceptual Design of Structural Systems", in B.H.V. Topping, (Editor), "Advances in Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, pp 157-161, 1996. doi:10.4203/ccp.38.4.1 Abstract The paper proposes coupling a genetic algorithm with a neural network to create a computer-automated procedure for conceptual design that uses directed random search guided by artificial learning to generate best-concept design solutions. The first part of the paper illustrates the basic features of the computational model through reference to the conceptual design of a building structural system. The latter part of the paper discusses a number of information processing issues central to the effective operation of the proposed model. 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 £82 +P&P)
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