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Article Dans Une Revue International Journal for Simulation and Multidisciplinary Design Optimization Année : 2017

Hessian transfer for multilevel and adaptive shape optimization

Résumé

We have developed a multilevel and adaption parametric strategies solved by optimization algorithms which require only the availability of objective function values but no derivative information. The key success of these hierarchical strategies refer to the quality of the downward and upward transfers of information. In this paper, we extend our approach when using a derivative-based optimization algorithms. The aim is to better re-initialize the Hessian and the gradient during the optimization process based on our construction of the downward and upward operators. The efficiency of this proposed approach is demonstrated by numerical experiments on an inverse shape model.
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Dates et versions

hal-01440209 , version 1 (19-01-2017)

Identifiants

Citer

Badr Abou El Majd, Ouail Ouchetto, Jean-Antoine Désidéri, Abderrahmane Habbal. Hessian transfer for multilevel and adaptive shape optimization . International Journal for Simulation and Multidisciplinary Design Optimization, 2017, 8, 18 p. ⟨10.1051/smdo/2017002⟩. ⟨hal-01440209⟩
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