Aspects of approximate optimisation: overcoming the curse of dimensionality and design of experiments

Sophie Trichon, M.H.A. Bonte, Jean-Philippe Ponthot, Antonius H. van den Boogaard

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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].
Original languageUndefined
Number of pages8
Publication statusPublished - 2007
EventInverse Problems, Design and Optimization Symposium - Miami, Florida,U.S.A
Duration: 16 Apr 200718 Apr 2007


ConferenceInverse Problems, Design and Optimization Symposium
OtherApril 16-18, 2007


  • IR-59672

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