On lower bounds for a class of quadratic 0, 1 programs

  • Authors:
  • Arjang A Assad;Weixuan Xu

  • Affiliations:
  • College of Business and Management, University of Maryland, College Park, MD 20742, USA;Institute of Applied Mathematics, Academia Sinica, Beijing, People's Republic of China

  • Venue:
  • Operations Research Letters
  • Year:
  • 1985

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present a new method of obtaining lower bounds for a class of quadratic 0, 1 programs that includes the quadratic assignment problem. The method generates a monotonic sequence of lower bounds and may be interpreted as a Lagrangean dual ascent procedure. We report on a computational comparison of our bounds with earlier work in [2] based on subgradient techniques.