A local-restart coupled strategy for simultaneous sizing and geometry truss optimization
This paper presents an approach for the global optimization of truss sizing and geometry that is based on a probabilistic restart procedure coupled with a local search algorithm. The resulting algorithm is able to guarantee local optimality and provides a set of local optima which contain, with an i...
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Published in: | Latin American journal of solids and structures Vol. 8; no. 3; pp. 335 - 349 |
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Main Authors: | , , |
Format: | Journal Article |
Language: | English |
Published: |
Associação Brasileira de Ciências Mecânicas
01-09-2011
Marcílio Alves |
Subjects: | |
Online Access: | Get full text |
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Summary: | This paper presents an approach for the global optimization of truss sizing and geometry that is based on a probabilistic restart procedure coupled with a local search algorithm. The resulting algorithm is able to guarantee local optimality and provides a set of local optima which contain, with an increasing probability as the number of restarts increases, the global solution. The optimization problem searches for a truss structure of minimum volume, subject to stress constraints. The design variables are the bars cross-section areas and some nodal coordinates. Several loading conditions are also considered. Finally, four numerical examples are presented and the main aspects of the approach are discussed. |
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ISSN: | 1679-7825 1679-7825 |
DOI: | 10.1590/S1679-78252011000300008 |