Aspects of approximate optimisation: overcoming the curse of dimensionality and design of experiments
Trichon, Sophie and Bonte, Martijn and Ponthot, Jean-Philippe and Boogaard, Ton van den (2007) Aspects of approximate optimisation: overcoming the curse of dimensionality and design of experiments. In: Inverse Problems, Design and Optimization Symposium, April 16-18, 2007, Miami, Florida,U.S.A.
|Abstract:||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].
|Item Type:||Conference or Workshop Item|
Engineering Technology (CTW)
|Link to this item:||http://purl.utwente.nl/publications/59672|
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