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Erschienen in: Optimization and Engineering 1/2016

20.11.2015

Use of a biobjective direct search algorithm in the process design of material science applications

verfasst von: Aïmen E. Gheribi, Jean-Philippe Harvey, Eve Bélisle, Christian Robelin, Patrice Chartrand, Arthur D. Pelton, Christopher W. Bale, Sébastien Le Digabel

Erschienen in: Optimization and Engineering | Ausgabe 1/2016

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Abstract

This work describes the application of a direct search method to the optimization of problems of real industrial interest, namely three new material science applications designed with the FactSage software. The search method is BiMADS, the biobjective version of the mesh adaptive direct search (MADS) algorithm, designed for blackbox optimization. We give a general description of the algorithm, and, for each of the three test cases, we describe the optimization problem, discuss the algorithmic choices, and give numerical results to demonstrate the efficiency of BiMADS.

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Metadaten
Titel
Use of a biobjective direct search algorithm in the process design of material science applications
verfasst von
Aïmen E. Gheribi
Jean-Philippe Harvey
Eve Bélisle
Christian Robelin
Patrice Chartrand
Arthur D. Pelton
Christopher W. Bale
Sébastien Le Digabel
Publikationsdatum
20.11.2015
Verlag
Springer US
Erschienen in
Optimization and Engineering / Ausgabe 1/2016
Print ISSN: 1389-4420
Elektronische ISSN: 1573-2924
DOI
https://doi.org/10.1007/s11081-015-9301-2

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