Global equilibrium search applied to the unconstrained binary quadratic optimization problem

  • Authors:
  • Panos M. Pardalos;Oleg A. Prokopyev;Oleg V. Shylo;Vladimir P. Shylo

  • Affiliations:
  • Department of ISE, University of Florida, Gainesville, FL, USA;Department of IE, University of Pittsburgh, Pittsburgh, PA, USA;Department of ISE, University of Florida, Gainesville, FL, USA;Institute of Cybernetics, NAS of Ukraine, Kiev, Ukraine

  • Venue:
  • Optimization Methods & Software
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

We describe a heuristic method for solving the unconstrained binary quadratic optimization problem based on a global equilibrium search framework. We investigate performance of the proposed approach and compare it with the best available solver [G. Palubeckis, Multistart tabu search strategies for the unconstrained binary quadratic optimization problem, Ann. Oper. Res., 131 (2004), pp. 259-282; G. Palubeckis, Unconstrained binary quadratic optimization. Available at http://www.soften.ktu.lt/∼gintaras/binqopt.html (Last accessed December 2006).] on well-known benchmarks instances. The reported computational results indicate a high efficiency of the heuristic.