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

被引:2
|
作者
Elsobky, Bothina [1 ]
Ashry, Gehan [1 ]
机构
[1] Alexandria Univ, Dept Math, Fac Sci, Alexandria 5424041, Egypt
关键词
a bilevel optimization problem; Fischer-Burmeister function; a Karush-Kuhn-Tucker conditions; active-set strategy; trust-region strategy; global convergence; INTERIOR-POINT ALGORITHM; GLOBAL OPTIMIZATION; DESCENT METHOD; NCP-FUNCTIONS;
D O I
10.3390/fractalfract6080412
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
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.
引用
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页数:29
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