Optimization of trusses using genetic algorithms for discrete and continuous variables
M.R. Ghasemi
(ADOPT Group, Department of Civil Engineering, University of Wales Swansea, Swansea, UK)
E. Hinton
(ADOPT Group, Department of Civil Engineering, University of Wales Swansea, Swansea, UK)
R.D. Wood
(ADOPT Group, Department of Civil Engineering, University of Wales Swansea, Swansea, UK)
1480
Abstract
This paper demonstrates the use of genetic algorithms (GAs) for size optimization of trusses. The concept of rebirthing is shown to be considerably effective for problems involving continuous design variables. Some benchmark examples are studied involving 4‐bar, 10‐bar, 64‐bar, 200‐bar and 940‐bar two‐dimensional trusses. Both continuous and discrete variables are considered.
Keywords
Citation
Ghasemi, M.R., Hinton, E. and Wood, R.D. (1999), "Optimization of trusses using genetic algorithms for discrete and continuous variables", Engineering Computations, Vol. 16 No. 3, pp. 272-303. https://doi.org/10.1108/02644409910266403
Publisher
:MCB UP Ltd
Copyright © 1999, MCB UP Limited