An Active-Set Fischer–Burmeister Trust-Region Algorithm to Solve a Nonlinear Bilevel Optimization Problem

In this paper, the Fischer–Burmeister active-set trust-region (FBACTR) algorithm is introduced to solve the nonlinear bilevel programming problems. In FBACTR algorithm, a Karush–Kuhn–Tucker (KKT) condition is used with the Fischer–Burmeister function to transform a nonlinear bilevel programming (NBL...

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Main Authors: Bothina Elsobky, Gehan Ashry
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Fractal and Fractional
Subjects:
Online Access:https://www.mdpi.com/2504-3110/6/8/412
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author Bothina Elsobky
Gehan Ashry
author_facet Bothina Elsobky
Gehan Ashry
author_sort Bothina Elsobky
collection DOAJ
description In this paper, the Fischer–Burmeister active-set trust-region (FBACTR) algorithm is introduced to solve the nonlinear bilevel programming problems. In FBACTR algorithm, a Karush–Kuhn–Tucker (KKT) condition is used with the Fischer–Burmeister function to transform a nonlinear bilevel programming (NBLP) problem into an equivalent smooth single objective nonlinear programming problem. To ensure global convergence for the FBACTR algorithm, an active-set strategy is used with a trust-region globalization strategy. The theory of global convergence for the FBACTR algorithm is presented. To clarify the effectiveness of the proposed FBACTR algorithm, applications of mathematical programs with equilibrium constraints are tested.
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spelling doaj.art-8e2e81c849a04558a5cf900e180b1a332023-11-30T21:25:51ZengMDPI AGFractal and Fractional2504-31102022-07-016841210.3390/fractalfract6080412An Active-Set Fischer–Burmeister Trust-Region Algorithm to Solve a Nonlinear Bilevel Optimization ProblemBothina Elsobky0Gehan Ashry1Department of Mathematics, Faculty of Science, Alexandria University, Alexandria 5424041, EgyptDepartment of Mathematics, Faculty of Science, Alexandria University, Alexandria 5424041, EgyptIn this paper, the Fischer–Burmeister active-set trust-region (FBACTR) algorithm is introduced to solve the nonlinear bilevel programming problems. In FBACTR algorithm, a Karush–Kuhn–Tucker (KKT) condition is used with the Fischer–Burmeister function to transform a nonlinear bilevel programming (NBLP) problem into an equivalent smooth single objective nonlinear programming problem. To ensure global convergence for the FBACTR algorithm, an active-set strategy is used with a trust-region globalization strategy. The theory of global convergence for the FBACTR algorithm is presented. To clarify the effectiveness of the proposed FBACTR algorithm, applications of mathematical programs with equilibrium constraints are tested.https://www.mdpi.com/2504-3110/6/8/412a bilevel optimization problemFischer–Burmeister functiona Karush–Kuhn–Tucker conditionsactive-set strategytrust-region strategyglobal convergence
spellingShingle Bothina Elsobky
Gehan Ashry
An Active-Set Fischer–Burmeister Trust-Region Algorithm to Solve a Nonlinear Bilevel Optimization Problem
Fractal and Fractional
a bilevel optimization problem
Fischer–Burmeister function
a Karush–Kuhn–Tucker conditions
active-set strategy
trust-region strategy
global convergence
title An Active-Set Fischer–Burmeister Trust-Region Algorithm to Solve a Nonlinear Bilevel Optimization Problem
title_full An Active-Set Fischer–Burmeister Trust-Region Algorithm to Solve a Nonlinear Bilevel Optimization Problem
title_fullStr An Active-Set Fischer–Burmeister Trust-Region Algorithm to Solve a Nonlinear Bilevel Optimization Problem
title_full_unstemmed An Active-Set Fischer–Burmeister Trust-Region Algorithm to Solve a Nonlinear Bilevel Optimization Problem
title_short An Active-Set Fischer–Burmeister Trust-Region Algorithm to Solve a Nonlinear Bilevel Optimization Problem
title_sort active set fischer burmeister trust region algorithm to solve a nonlinear bilevel optimization problem
topic a bilevel optimization problem
Fischer–Burmeister function
a Karush–Kuhn–Tucker conditions
active-set strategy
trust-region strategy
global convergence
url https://www.mdpi.com/2504-3110/6/8/412
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