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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Bonte, M. H. A.
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Publications (7/7 displayed)
- 2008An optimisation strategy for industrial metal forming processescitations
- 2007Modelling, screening, and solving of optimisation problems: Application to industrial metal forming processes
- 2007A Robust Optimisation Strategy for Metal Forming Processescitations
- 2007Deterministic and robust optimisation strategies for metal forming proceesses
- 2007A metamodel based optimisation algorithm for metal forming processescitations
- 2006A comparison between optimisation algorithms for metal forming processes
- 2006Optimising towards robust metal forming processes
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document
A comparison between optimisation algorithms for metal forming processes
Abstract
Coupling optimisation algorithms to Finite Element (FEM) simulations is a very promisingway to achieve optimal metal forming processes. However, many optimisation algorithms exist and it is notclear which of these algorithms to use. This paper compares an efficient Metamodel Assisted EvolutionaryStrategy (MAES), three variants of a Sequential Approximate Optimisation (SAO) algorithm, and two iterativealgorithms (BFGS and SCPIP). They are compared to each other and to reference situations by application totwo forging examples. It is concluded that bothMAES and SAO outperform the iterative algorithms. Moreover,they yield significant improvements with respect to the reference situations, which makes them both veryinteresting algorithms for optimising metal forming processes