IMProVe 2011 - Proceedings

Design Methods and Applications
Design optimization:
management of large solution spaces
and optimization algorithm selection
A. Collignan (a), J. Pailhes (b), P. Sebastian (a)
(a) Université de Bordeaux, I2M departement IMC; Esplanade des Arts & Métiers, FRANCE
(b) Arts et Métiers Paristech, I2M departement IMC; Esplanade des Arts & Métiers, FRANCE
Abstract:
Context:
In aeronautical industry, iterations between design department and simulation
department - named "trial-and-error process" - are time and money consuming. Design
and modelling of a fastened junction is a design problem often encountered, with a high
complexity level.
Modelling:
from a finite element model to simulate the stress in each fastener of the junction. Several
criterion are calculated. Actually, the software cannot perform any optimization process.
Design variables of this problem are numerous.
Optimization:
In order to solve the trial-and-error process and decrease the number of iterations, it is
proposed to use a global optimization algorithm. Four stochastic algorithms inspired by
nature are investigated: genetic algorithms, particle swarms, artificial immune systems
and ant systems. Confronted to six benchmarks, an algorithm is selected and applied to
the junction problem through three design scenarios, which illustrate the formalization of
designer preferences.
Keywords: Multi-criteria, Mechanical design, Optimization algorithms, Large design space,
Riveted junction.
Corresponding Author: Arnaud Collignan
Tel.: +33 556 845 414
Fax.: +33 556 845 436
e-mail: arnaud.collignan@ensam.eu
Address: Laboratoire TREFLE, Esplanade des Arts & Métiers, 33405 TALENCE Cedex, FRANCE.
June 15 th – 17 th , 2011, Venice, Italy
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IMProVe 2011 - Proceedings