Polymatroids and mean-risk minimization in discrete optimization

  • Authors:
  • Alper AtamtüRk;Vishnu Narayanan

  • Affiliations:
  • Department of Industrial Engineering and Operations Research, University of California, Berkeley, CA 94720-1777, USA;Department of Industrial Engineering and Operations Research, University of California, Berkeley, CA 94720-1777, USA

  • Venue:
  • Operations Research Letters
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

We study discrete optimization problems with a submodular mean-risk minimization objective. For 0-1 problems a linear characterization of the convex lower envelope is given. For mixed 0-1 problems we derive an exponential class of conic quadratic valid inequalities. We report computational experiments on risk-averse capital budgeting problems with uncertain returns.