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Paper II.4

Truss Optimization using Genetic Algorithms

M.R. Ghasemi and E. Hinton

Department of Civil Engineering, University of Wales, Swansea, United Kingdom

doi:10.4203/ccp.38.2.4

M.R. Ghasemi, E. Hinton, "Truss Optimization using Genetic Algorithms", in B.H.V. Topping, (Editor), "Advances in Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, pp 59-75, 1996. doi:10.4203/ccp.38.2.4

Abstract

This paper demonstrates the use of Genetic Algorithms (GAS) for size optimization of trusses. The concept of re-birthing is shown to be considerably effective for problems involving continuous design variables. Some benchmark examples are studied involving 3-bar, 4-bar 10-bar, 64-bar, 200-bar and 940-bar two-dimensional trusses. Both continuous and discrete variables are considered.

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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 II.4 Truss Optimization using Genetic Algorithms M.R. Ghasemi and E. Hinton Department of Civil Engineering, University of Wales, Swansea, United Kingdom doi:10.4203/ccp.38.2.4 purchase the full-text of this paper Full Bibliographic Reference for this paper M.R. Ghasemi, E. Hinton, "Truss Optimization using Genetic Algorithms", in B.H.V. Topping, (Editor), "Advances in Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, pp 59-75, 1996. doi:10.4203/ccp.38.2.4 Abstract This paper demonstrates the use of Genetic Algorithms (GAS) for size optimization of trusses. The concept of re-birthing is shown to be considerably effective for problems involving continuous design variables. Some benchmark examples are studied involving 3-bar, 4-bar 10-bar, 64-bar, 200-bar and 940-bar two-dimensional trusses. Both continuous and discrete variables are considered. 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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