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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 64
COMPUTATIONAL ENGINEERING USING METAPHORS FROM NATURE Edited by: B.H.V. Topping
Paper II.11
Optimal Design of Twenty-Five Bar Truss Layout using a Genetic Algorithm I.A. Azid+, K.N. Seetharamu+ and A.S.K. Kwan*
+School of Mechanical Engineering, University Sains Malaysia, Tronoh, Malaysia
I.A. Azid, K.N. Seetharamu, A.S.K. Kwan, "Optimal Design of Twenty-Five Bar Truss Layout using a Genetic Algorithm", in B.H.V. Topping, (Editor), "Computational Engineering using Metaphors from Nature", Civil-Comp Press, Edinburgh, UK, pp 151-158, 2000. doi:10.4203/ccp.64.2.11
Abstract
Well-known 25-bar truss is commonly optimized
within a fixed topology and with area grouping. However,
current paper attempts to investigate the optimal topology
without prior assumption of the fixed topology. This paper
employs a GA-based technique in which it departs from
conventional GA where no binary strings is used to represent
the possible solutions. The effect of relaxing the restriction
of area grouping, and the variation of location of joints in the
25-bar truss are also investigated in finding the optimal
weight of that given structure. For a given loading position,
an optimal structure is found only with the requirement of at
least three supports where the locations of the supports are
also not fixed. Common optimization of this 25-bar truss not
only fixed the number of supports to be four but also fixed
the location of the supports. This paper deviates from this
common practice where the optimization process should not
be fixed with that requirement. It is found out that by using
current algorithm, the optimal weight of 25-bar truss's
topology is reduced. It proved that optimization without
fixed topology can achieve less weight (i.e. approximately
30%) than with fixed topology by only knowing the loading
joints.
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