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On high-order model regularization for multiobjective optimization

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Author(s):
Calderon, L. ; Diniz-Ehrhardt, M. A. ; Martinez, J. M.
Total Authors: 3
Document type: Journal article
Source: OPTIMIZATION METHODS & SOFTWARE; v. 37, n. 1, p. 17-pg., 2020-02-01.
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. (AU)

FAPESP's process: 18/24293-0 - Computational methods in optimization
Grantee:Sandra Augusta Santos
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC