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Comparison and implementation of two methods in a truss optimization, one based in an evolutionary structural optimization, other based in mathematical programming
Author(s) -
Renato Pavanello,
Luiz Paulo Rodrigues Filho
Publication year - 2015
Publication title -
anais do congresso de iniciação científica da unicamp
Language(s) - English
Resource type - Conference proceedings
ISSN - 2447-5114
DOI - 10.19146/pibic-2015-37575
Subject(s) - truss , computer science , evolutionary programming , mathematical optimization , genetic programming , evolutionary computation , artificial intelligence , mathematics , engineering , structural engineering
This paper compares two different methods of a truss optimization. The goal of the optimization is to minimize the compliance of the truss like structures, maximizing the stiffness. The methods used are the Evolutionary Structural Optimization, which is based in slowly removing inefficient material of the structure1, and the Method of Moving Asymptotes, method developed by Kristen Svanberg, based in creating a strictly convex approximated subproblem2, which is solved in each iteration of the optimization process.

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