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

Sophie Trichon, Martijn Bonte, Jean-Philippe Ponthot, Ton 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 languageEnglish
Title of host publicationIPDO 2007
Subtitle of host publicationInverse Problems, Design and Optimizations Symposium, 16-18 April 2007, Miami, Florida, USA
EditorsGeorge S. Dulikravich, Marcelo J. Colaco, Helcio R.B. Orlande, Masataka Tanaka
Place of PublicationRio de Janeiro, Brazil
PublisherE-papers publishing house Ltd.
Number of pages8
ISBN (Print)978-1-59916-279-9
Publication statusPublished - 2007
EventInverse Problems, Design and Optimizations Symposium, IPDO 2007 - Mimami Beach, United States
Duration: 16 Apr 200718 Apr 2007


ConferenceInverse Problems, Design and Optimizations Symposium, IPDO 2007
Abbreviated titleIPDO
Country/TerritoryUnited States
CityMimami Beach

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