Heuristics and meta-heuristics for 2-layer straight line crossing minimization

  • Authors:
  • Rafael Martí;Manuel Laguna

  • Affiliations:
  • Departamento de Estadística e I.O. Universidad de Valencia. Dr. Moliner 50, 46100 Burjassot, (Valencia), Spain;Leeds School of Business, University of Colorado, 419 UCB, Boulder, CO

  • Venue:
  • Discrete Applied Mathematics
  • Year:
  • 2003

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Abstract

This paper presents extensive computational experiments to compare 12 heuristics and 2 meta-heuristics for the problem of minimizing straight-line crossings in a 2-layer graph. These experiments show that the performance of the heuristics (largely based on simple ordering rules) drastically deteriorates as the graphs become sparser. A tabu search metaheuristic yields the best results for relatively dense graphs, with a GRASP implementation as close second. Furthermore, the GRASP approach outperforms all other approaches when tackling low-density graphs.