Intelligent computing in optimization of coupled problems / T. Burczyński, A. Długosz // W: Computational Methods for Coupled Problems in Science and Engineering V : a conference celebrating the 60th ... więcej

Intelligent computing in optimization of coupled problems / T. Burczyński, A. Długosz // W: Computational Methods for Coupled Problems in Science and Engineering V : a conference celebrating the 60th birthday of Eugenio Oñate : Coupled Problems 2013 [Dokument elektroniczny] / ed. by S. Idelsohn, M. Papadrakakis, B. Schrefler. – Barcelona : International Centre for Numerical Methods in Engineering (CIMNE), 2013. – S. 387-398 : rys., schem., tab., wykr. – Tryb dostępu: http://congress2.cimne.com/coupled2013/proceedings/full/p686.pdf. – Bibliogr. 21 poz., Abstr. – Session: Single and Multiobjective Optimization for Coupled Problems. – ISBN 978-84-941407-6-1

This paper proposes a multiobjective optimization approach for designing selected coupled-field models. The optimization method is based on evolutionary algorithm (EA). Proposed technique overtakes one ... więcej

This paper proposes a multiobjective optimization approach for designing selected coupled-field models. The optimization method is based on evolutionary algorithm (EA). Proposed technique overtakes one of the most popular multiobjective evolutionary algorithm NSGAII [5,6] on several benchmark and engineering problems. Coupling between electrical, thermal and mechanical fields is considered. Finite element method (FEM) is used to simulate direct coupled problems numerically. The software packages based on FEM are adapted to create the optimization system. Suitable interfaces between optimization algorithm and the FEM software are created. They use internal script languages embedded in preprocesors of the FEM systems. Different types of functionals are formulated on the basis of the results obtained from coupled-field analysis. Functionals depending on the volume of the structure are also proposed. Parametric NURBS curves are used to model some optimized structures. Numerical examples for bi-objective and three-objective optimization problems are presented.