Deb, Kalyanmoy ; Gulati, Surendra ; Chakrabarti, Sekhar (1998) Optimal truss-structure design using real-coded genetic algorithms Symposium on Genetic Algorithms, (Madison, USA), San Mateo: Morgan Kaufmann . pp. 479-486.
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Abstract
Optimization of truss-structures for finding optimal cross-sectional size, topology, and configuration of 2-D and 3-D trusses to achieve minimum weight is carried out using real-coded genetic algorithms (GAs). All the above three optimization techniques have been made possible by using a novel representation scheme. Although the proposed GA uses a fixed-length vector of design variables representing member areas and change in nodal coordinates, a simple member exclusion principle is introduced to obtain differing topologies. Moreover, practical considerations, such as inclusion of important nodes in the optimized structure is taken care of by using a concept of basic and non-basic nodes. Stress, deflection, and kinematic stability considerations are also handled using constraints. In a number of 2-D and 3-D trusses, the proposed technique finds intuitively optimal or near-optimal trusses, which are also found to have smaller weight than those that are reported in the literature.
Item Type: | Article |
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Source: | Copyright of this article belongs to Symposium on Genetic Algorithms, (Madison, USA), San Mateo: Morgan Kaufmann. |
ID Code: | 82741 |
Deposited On: | 14 Feb 2012 11:25 |
Last Modified: | 18 May 2016 23:50 |
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