A semismooth newton-type method for bilevel programs with linear lower level problem
A semismooth newton-type method for bilevel programs with linear lower level problem
We consider a bilevel program involving a linear lower level problem with left-hand-side perturbation. We then consider the Karush-Kuhn-Tucker reformulation of the problem and subsequently build a tractable optimization problem with linear constraints by means of a partial exact penalization. A regularized Newton system of equations is then generated from the latter problem and a Newton-type method is developed to solve it. Finally, we illustrate the practical implementation of the algorithm on the optimal toll-setting problem in transportation networks.
Bilevel optimization, Newton method, Optimal toll-setting
1437-1463
Kue, Floriane Mefo
c2971f52-f057-4549-ac12-8522e178d1a3
Raasch, Thorsten
d74c3a87-4327-4d17-b69a-3ca798d4ec05
Zemkoho, Alain B.
30c79e30-9879-48bd-8d0b-e2fbbc01269e
2023
Kue, Floriane Mefo
c2971f52-f057-4549-ac12-8522e178d1a3
Raasch, Thorsten
d74c3a87-4327-4d17-b69a-3ca798d4ec05
Zemkoho, Alain B.
30c79e30-9879-48bd-8d0b-e2fbbc01269e
Kue, Floriane Mefo, Raasch, Thorsten and Zemkoho, Alain B.
(2023)
A semismooth newton-type method for bilevel programs with linear lower level problem.
Pure and Applied Functional Analysis, 8 (5), .
Abstract
We consider a bilevel program involving a linear lower level problem with left-hand-side perturbation. We then consider the Karush-Kuhn-Tucker reformulation of the problem and subsequently build a tractable optimization problem with linear constraints by means of a partial exact penalization. A regularized Newton system of equations is then generated from the latter problem and a Newton-type method is developed to solve it. Finally, we illustrate the practical implementation of the algorithm on the optimal toll-setting problem in transportation networks.
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2010.11662v1
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Accepted/In Press date: 22 October 2020
Published date: 2023
Keywords:
Bilevel optimization, Newton method, Optimal toll-setting
Identifiers
Local EPrints ID: 498992
URI: http://eprints.soton.ac.uk/id/eprint/498992
ISSN: 2189-3756
PURE UUID: 5ba26a2b-6625-48d9-ab3c-1c5134a57cd6
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Date deposited: 06 Mar 2025 17:41
Last modified: 07 Mar 2025 02:47
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Contributors
Author:
Floriane Mefo Kue
Author:
Thorsten Raasch
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