Nonmonotone Proximal Gradient Method for Composite Multiobjective Optimization Problems

Jian-Wen Peng (), Hua Sun () and Elisabeth Köbis ()
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Jian-Wen Peng: Chongqing Normal University
Hua Sun: Chongqing Normal University
Elisabeth Köbis: Norwegian University of Science and Technology

Journal of Optimization Theory and Applications, 2025, vol. 205, issue 3, No 7, 28 pages

Abstract: Abstract In this paper, we introduce proximal gradient methods with non-monotone Armijo line search rule of both kinds, max-type and average-type, to solve composite multiobjective optimization problems (CMOP). Moreover, the convergence analysis is given, and we show that all accumulation points of a sequence generated by both of the two kinds of nonmonotone proximal gradient methods are Pareto stationary points of (CMOP). Finally, we present numerical experiments illustrating the practical performance of these methods

Keywords: Composite multiobjective optimization problem; Nonmonotone proximal gradient method; Convergence analysis; Pareto stationary point; 90C29 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10957-025-02667-8

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