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On High-order Model Regularization for Multiobjective Optimization

L. Calderón(lizet1910***at***gmail.com)
M.A. Diniz-Ehrhardt(cheti***at***ime.unicamp.br)
J.M. Martínez(martinez***at***ime.unicamp.br)

Abstract: A p-order regularization method for finding weak stationary points of multiobjective optimization problems with constraints is introduced. Under Holder conditions on the derivatives of the objective functions, complexity results are obtained that generalize properties recently proved for scalar optimization.

Keywords: constrained minimization, complexity, multi-objective

Category 1: Nonlinear Optimization (Constrained Nonlinear Optimization )

Citation:

Download: [PDF]

Entry Submitted: 12/27/2018
Entry Accepted: 12/27/2018
Entry Last Modified: 12/27/2018

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