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by Ranieri Baraglia, José Ignacio Hidalgo, Raffaele Perego
In Proceedings of EvoCOP2001, the First European Workshop on Evolutionary Computation in Combinatorial Optimization
http://raffaele.cnuce.cnr.it/~raffaele/papers_ps/EvoWorkshop.pdf
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Abstract:
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. Keywords: Parallel algorithms, TSP, compact genetic algorithm, Lin-Kernighan algorithm, hybrid GA.
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