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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Official URL: http://linkinghub.elsevier.com/retrieve/pii/S01688...
Related URL: http://dx.doi.org/10.1016/S0168-874X(00)00057-3
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 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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