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Type: Artigo de periódico
Title: An SLP algorithm and its application to topology optimization
Author: Gomes, Francisco A. M.
Senne, Thadeu A.
Abstract: We introduce a globally convergent sequential linear programming method for nonlinear programming. The algorithm is applied to the solution of classic topology optimization problems, as well as to the design of compliantmechanisms. The numerical results suggest that the new algorithm is faster than the globally convergent version of the method of moving asymptotes, a popular method for mechanical engineering applications proposed by Svanberg.
Subject: topology optimization
compliant mechanisms
sequential linear programming
global convergence theory
Editor: Sociedade Brasileira de Matemática Aplicada e Computacional
Rights: aberto
Identifier DOI: 10.1590/S1807-03022011000100004
Date Issue: 1-Jan-2011
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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