Intelligent computing in optimization of coupled problems
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Inclou dades d'ús des de 2022
Cita com:
hdl:2117/192341
Tipus de documentText en actes de congrés
Data publicació2013
EditorCIMNE
Condicions d'accésAccés obert
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Abstract
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.
ISBN978-84-941407-6-1
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Coupled-2013-33 ... puting in optimization.pdf | 1,218Mb | Visualitza/Obre |