A modified inver-over operator for the traveling salesman problem

  • Authors:
  • Yuting Wang;Jian Sun;Junqing Li;Kaizhou Gao

  • Affiliations:
  • College of Computer Science, Liaocheng University, Liaocheng, P.R. China;College of Computer Science, Liaocheng University, Liaocheng, P.R. China;College of Computer Science, Liaocheng University, Liaocheng, P.R. China;College of Computer Science, Liaocheng University, Liaocheng, P.R. China

  • Venue:
  • ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
  • Year:
  • 2011

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Abstract

The Inver-over operator holds a good result for small size Traveling Salesman Problem (TSP) while has worse capability for the large scale TSP. In this study, a Modified Inver-over operator is proposed to solve the TSP. In the Modified Inver-over operator, the direction of the tour is considered when applying the inversion and the city c is decided whether it is kept same after the inversion according to adaptively increasing probability, meanwhile, the α-nearest candidate set is used when selecting city c′. We evaluate the proposed operator based on standard TSP test problems selected from TSPLIB and show that the proposed operator performs better than the Basic Inver-over operator and other operator in terms of solution quality and computational effort.