An Objective Penalty Function of Bilevel Programming

Zhiqing Meng, Chuangyin Dang, Rui Shen, Ming Jiang

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    7 Citations (Scopus)

    Abstract

    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.
    Original languageEnglish
    Pages (from-to)377-387
    JournalJournal of Optimization Theory and Applications
    Volume153
    Issue number2
    DOIs
    Publication statusPublished - May 2012

    Research Keywords

    • Algorithm
    • Bilevel programming
    • Objective penalty function
    • Penalty function

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