TY - JOUR
T1 - An Objective Penalty Function of Bilevel Programming
AU - Meng, Zhiqing
AU - Dang, Chuangyin
AU - Shen, Rui
AU - Jiang, Ming
PY - 2012/5
Y1 - 2012/5
N2 - Penalty methods are very efficient in finding an optimal solution to constrained optimization problems. In this paper, we present an objective penalty function with two penalty parameters for inequality constrained bilevel programming under the convexity assumption to the lower level problem. Under some conditions, an optimal solution to a bilevel programming defined by the objective penalty function is proved to be an optimal solution to the original bilevel programming. Moreover, based on the objective penalty function, an algorithm is developed to obtain an optimal solution to the original bilevel programming, with its convergence proved under some conditions. © 2011 Springer Science+Business Media, LLC.
AB - Penalty methods are very efficient in finding an optimal solution to constrained optimization problems. In this paper, we present an objective penalty function with two penalty parameters for inequality constrained bilevel programming under the convexity assumption to the lower level problem. Under some conditions, an optimal solution to a bilevel programming defined by the objective penalty function is proved to be an optimal solution to the original bilevel programming. Moreover, based on the objective penalty function, an algorithm is developed to obtain an optimal solution to the original bilevel programming, with its convergence proved under some conditions. © 2011 Springer Science+Business Media, LLC.
KW - Algorithm
KW - Bilevel programming
KW - Objective penalty function
KW - Penalty function
UR - http://www.scopus.com/inward/record.url?scp=84859508276&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84859508276&origin=recordpage
U2 - 10.1007/s10957-011-9945-9
DO - 10.1007/s10957-011-9945-9
M3 - RGC 21 - Publication in refereed journal
SN - 0022-3239
VL - 153
SP - 377
EP - 387
JO - Journal of Optimization Theory and Applications
JF - Journal of Optimization Theory and Applications
IS - 2
ER -