A Parallel Hybrid Heuristic for the TSP

  • Authors:
  • Ranieri Baraglia;José Ignacio Hidalgo;Raffaele Perego

  • Affiliations:
  • -;-;-

  • Venue:
  • Proceedings of the EvoWorkshops on Applications of Evolutionary Computing
  • Year:
  • 2001

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Abstract

In this paper we investigate the design of a coarse-grained parallel implementation of Cga-LK, a hybrid heuristic for the Traveling Salesman Problem (TSP). Cga-LK exploits a compact genetic algorithm in order to generate high-quality tours which are then refined by means of an efficient implementation of the Lin-Kernighan local search heuristic. The results of several experiments conducted on a cluster of workstations with different TSP instances show the efficacy of the parallelism exploitation.