Interior-Point Algorithms, Penalty Methods and Equilibrium Problems

  • Authors:
  • Hande Y. Benson;Arun Sen;David F. Shanno;Robert J. Vanderbei

  • Affiliations:
  • Decision Sciences Department, LeBow College of Business, Drexel University, Philadelphia 19104;Department of Operations Research and Financial Engineering, Princeton University, Princeton 08544;RUTCOR - Rutgers Center of Operations Research, Rutgers University, New Brunswick 08903;Department of Operations Research and Financial Engineering, Princeton University, Princeton 08544

  • Venue:
  • Computational Optimization and Applications
  • Year:
  • 2006

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Abstract

In this paper we consider the question of solving equilibrium problems--formulated as complementarity problems and, more generally, mathematical programs with equilibrium constraints (MPECs)--as nonlinear programs, using an interior-point approach. These problems pose theoretical difficulties for nonlinear solvers, including interior-point methods. We examine the use of penalty methods to get around these difficulties and provide substantial numerical results. We go on to show that penalty methods can resolve some problems that interior-point algorithms encounter in general.