A scalarization proximal point method for quasiconvex multiobjective minimization

H. C.F. Apolinário, E. A. Papa Quiroz, P. R. Oliveira

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22 Scopus citations

Abstract

In this paper we propose a scalarization proximal point method to solve multiobjective unconstrained minimization problems with locally Lipschitz and quasiconvex vector functions. We prove, under natural assumptions, that the sequence generated by the method is well defined and converges globally to a Pareto-Clarke critical point. Our method may be seen as an extension, for nonconvex case, of the inexact proximal method for multiobjective convex minimization problems studied by Bonnel et al. (SIAM J Optim 15(4):953–970, 2005).

Original languageEnglish
Pages (from-to)79-96
Number of pages18
JournalJournal of Global Optimization
Volume64
Issue number1
DOIs
StatePublished - 1 Jan 2016

Bibliographical note

Publisher Copyright:
© 2015, Springer Science+Business Media New York.

Keywords

  • Clarke subdifferential
  • Fejér convergence
  • Multiobjective minimization
  • Pareto-Clarke critical point
  • Proximal point methods
  • Quasiconvex functions

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