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A study for efficiently solving optimisation problems with an increasing number of design variables
Trichon, S.; Bonte, M. H. A.; van den Boogaard, A. H. et al.
2007
Peer reviewed
 

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Keywords :
Metamodelling; Numerical Optimisation; Design Of Experiments
Abstract :
[en] Coupling optimisation algorithms to Finite Element Methods (FEM) is a very promising way to achieve optimal metal forming processes. However, many optimisation algorithms exist and it is not clear which of these algorithms to use. This paper investigates the sensitivity of a Sequential Approximate Optimisation algorithm (SAO) proposed in [1-4] to an increasing number of design variables and compares it with two other algorithms: an Evolutionary Strategy (ES) and an Evolutionary version of the SAO (ESAO). In addition, it observes the influence of different Designs Of Experiments used with the SAO. It is concluded that the SAO is very capable and efficient and its combination with an ES is not beneficial. Moreover, the use of SAO with Fractional Factorial Design is the most efficient method, rather than Full Factorial Design as proposed in [1-4].
Disciplines :
Aerospace & aeronautics engineering
Mechanical engineering
Materials science & engineering
Author, co-author :
Trichon, S.
Bonte, M. H. A.;  Faculty of Engineering Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, Netherlands
van den Boogaard, A. H.;  Faculty of Engineering Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, Netherlands
Ponthot, Jean-Philippe  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > LTAS-Mécanique numérique non linéaire
Language :
English
Title :
A study for efficiently solving optimisation problems with an increasing number of design variables
Publication date :
2007
Event name :
9th International Conference on Numerical Methods in Industrial Forming Processes(NUMIFORM 07)
Event place :
Univ. Porto, Fac. Engn., Oporto, Portugal
Event date :
June 17-21, 2007
Audience :
International
Peer reviewed :
Peer reviewed
Available on ORBi :
since 26 November 2009

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