数学物理学报(英文版) ›› 2011, Vol. 31 ›› Issue (2): 652-660.doi: 10.1016/S0252-9602(11)60265-8

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A DUAL-RELAX PENALTY FUNCTION APPROACH FOR SOLVING NONLINEAR BILEVEL PROGRAMMING WITH LINEAR LOWER LEVEL PROBLEM

万仲平|王广民|吕一兵   

  1. School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China; School of Economics and Management, China University of Geosciences, Wuhan 430074, China; Institute of Information and Mathematics, Yangtze University, Jingzhou, Hubei, China
  • 收稿日期:2008-10-28 修回日期:2010-07-26 出版日期:2011-03-20 发布日期:2011-03-20
  • 基金资助:

    This research was partially supported by the National Science Foundation of China (70771080) and Social Science Foundation of Ministry of Education (10YJC630233).

A DUAL-RELAX PENALTY FUNCTION APPROACH FOR SOLVING NONLINEAR BILEVEL PROGRAMMING WITH LINEAR LOWER LEVEL PROBLEM

 WAN Zhong-Ping, WANG Guang-Min, LV Yi-Bing   

  1. School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China; School of Economics and Management, China University of Geosciences, Wuhan 430074, China; Institute of Information and Mathematics, Yangtze University, Jingzhou, Hubei, China
  • Received:2008-10-28 Revised:2010-07-26 Online:2011-03-20 Published:2011-03-20
  • Supported by:

    This research was partially supported by the National Science Foundation of China (70771080) and Social Science Foundation of Ministry of Education (10YJC630233).

摘要:

The penalty function method, presented many years ago, is an important numerical method for the mathematical programming 
problems. In this article, we propose a dual-relax penalty function approach, which is significantly different from penalty function
approach existing for solving the bilevel programming, to solve the nonlinear bilevel programming with linear lower level problem. Our
algorithm will redound to the error analysis for computing an approximate solution to the bilevel programming. The error estimate is obtained among the optimal objective function value of the dual-relax penalty problem and of the original bilevel programming problem. An example is illustrated to show the feasibility of the proposed approach.

关键词: Nonlinear bilevel programming, penalty function approach, dual-relax strategy

Abstract:

The penalty function method, presented many years ago, is an important numerical method for the mathematical programming 
problems. In this article, we propose a dual-relax penalty function approach, which is significantly different from penalty function
approach existing for solving the bilevel programming, to solve the nonlinear bilevel programming with linear lower level problem. Our
algorithm will redound to the error analysis for computing an approximate solution to the bilevel programming. The error estimate is obtained among the optimal objective function value of the dual-relax penalty problem and of the original bilevel programming problem. An example is illustrated to show the feasibility of the proposed approach.

Key words: Nonlinear bilevel programming, penalty function approach, dual-relax strategy

中图分类号: 

  • 90C26