Proximal Gradient Method for Solving Bilevel Optimization Problems
In this paper, we consider a bilevel optimization problem as a task of finding the optimum of the upper-level problem subject to the solution set of the split feasibility problem of fixed point problems and optimization problems. Based on proximal and gradient methods, we propose a strongly converge...
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Published in | Mathematical and computational applications Vol. 25; no. 4; p. 66 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
MDPI AG
04.10.2020
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Subjects | |
Online Access | Get full text |
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Summary: | In this paper, we consider a bilevel optimization problem as a task of finding the optimum of the upper-level problem subject to the solution set of the split feasibility problem of fixed point problems and optimization problems. Based on proximal and gradient methods, we propose a strongly convergent iterative algorithm with an inertia effect solving the bilevel optimization problem under our consideration. Furthermore, we present a numerical example of our algorithm to illustrate its applicability. |
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ISSN: | 2297-8747 1300-686X 2297-8747 |
DOI: | 10.3390/mca25040066 |