Algorithmes hybrides pour l’optimisation globale
Keyword(s):
We introduce two evolutionnary hybrid optimizers, based on surrogate models which use a limited prescribed number of exact evaluations of the criterion and its gradient. The first algorithm uses a discontinuous ansatz with a clustering technique. The second one uses a Liszka-Orkisz interpolation scheme, and keeps memory of the exactly evaluated individuals of previous generations. These two methods are applied to a 3D forging shape optimization problem. The considered objective combines the total energy cost and a defect criterion. We present numerical results which illustrate the efficiency of the developped algorithms.
2016 ◽
Vol 54
(1)
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pp. 210-241
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2019 ◽
pp. 579-588
2021 ◽
Vol 16
(3)
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pp. JFST0019-JFST0019
2002 ◽
Vol 14
(3)
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pp. 249-274
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2019 ◽
Vol 267
(9)
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pp. 5493-5520
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Keyword(s):