Design of truss-structures for minimum weight using genetic algorithms

Deb, Kalyanmoy ; Gulati, Surendra (2001) Design of truss-structures for minimum weight using genetic algorithms Finite Elements in Analysis and Design, 37 (5). pp. 447-465. ISSN 0168-874X

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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
Source:Copyright of this article belongs to Elsevier Science.
Keywords:Genetic Algorithms; Structural Optimization; Topology Design; Truss Optimization
ID Code:9455
Deposited On:02 Nov 2010 12:10
Last Modified:16 May 2016 19:15

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