The proximal point method for locally Lipschitz functions in multiobjective optimization

نویسندگان

  • G. C. Bento
  • J. C. O. Souza
چکیده

This paper studies the constrained multiobjective optimization problem of finding Pareto critical points of vector-valued functions. The proximal point method considered by Bonnel et al. (SIAM J. Optim., 4 (2005), pp. 953-970) is extended to locally Lipschitz functions in the finite dimensional multiobjective setting. To this end, a new approach for convergence analysis of the method is proposed where the first-order optimality condition of the “scalarized” problem is replaced by a necessary condition for weakly Pareto points of a multiobjective problem.

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تاریخ انتشار 2016