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Year 2017, Volume: 7 Issue: 1, 101 - 109, 01.06.2017

Abstract

References

  • Lawler,E., Lenstra,J., Kan,A., and Shmoys,D., (1985), The traveling salesman problem: a guided tour of combinatorial optimization, Chichester, Wiley, 11, pp.201-209.
  • Kara,I. and Bektas,T., (2006), Integer linear programming formulations of multiple salesman problems and its variations, European Journal of Operational Research, 174(3), pp.1449-1458.
  • Dantzig,G., Fulkerson,D., and Johnson,S.M., (1954), Solution of a large-scale traveling salesman prob- lem, Operational Research 2, pp. 393-410.
  • Bektas,T., (2006), The multiple traveling salesman problem: an overview of formulations and solution procedures, Omega, 34(3), pp.209-219.
  • Matai,R., Singh,P.S., and Mittal,L.M., (2010), Traveling salesman problem: An overview of applica- tions, formulations, and solution approaches, traveling salesman problem, theory and applications, pp.1-24.
  • Averbakh,I., Lebedev,V., and Tsurkov,V., (2008), Nash equilibria solutions in the competitive sales- men problem on a network, Applied and Computational Mathematics, An International Journal, 7(1), pp.54-65.
  • Park,Y., (2001), A hybrid genetic algorithm for the vehicle scheduling problem with due times and time deadlines, Int. Journal of Productions Econ., 73(2), pp.175-188. [8] Traveling salesman problem and related problems library doi: http://www.iwr.uni

A NEW HEURISTIC ALGORITHM FOR MULTIPLE TRAVELING SALESMAN PROBLEM

Year 2017, Volume: 7 Issue: 1, 101 - 109, 01.06.2017

Abstract

The Multiple Traveling Salesman Problem mTSP is a combinatorial optimization problem in NP-hard class. The mTSP aims to acquire the minimum cost for traveling a given set of cities by assigning each of them to a different salesman in order to create m number of tours. This paper presents a new heuristic algorithm based on the shortest path algorithm to find a solution for the mTSP. The proposed method has been programmed in C language and its performance analysis has been carried out on the library instances. The computational results show the efficiency of this method.

References

  • Lawler,E., Lenstra,J., Kan,A., and Shmoys,D., (1985), The traveling salesman problem: a guided tour of combinatorial optimization, Chichester, Wiley, 11, pp.201-209.
  • Kara,I. and Bektas,T., (2006), Integer linear programming formulations of multiple salesman problems and its variations, European Journal of Operational Research, 174(3), pp.1449-1458.
  • Dantzig,G., Fulkerson,D., and Johnson,S.M., (1954), Solution of a large-scale traveling salesman prob- lem, Operational Research 2, pp. 393-410.
  • Bektas,T., (2006), The multiple traveling salesman problem: an overview of formulations and solution procedures, Omega, 34(3), pp.209-219.
  • Matai,R., Singh,P.S., and Mittal,L.M., (2010), Traveling salesman problem: An overview of applica- tions, formulations, and solution approaches, traveling salesman problem, theory and applications, pp.1-24.
  • Averbakh,I., Lebedev,V., and Tsurkov,V., (2008), Nash equilibria solutions in the competitive sales- men problem on a network, Applied and Computational Mathematics, An International Journal, 7(1), pp.54-65.
  • Park,Y., (2001), A hybrid genetic algorithm for the vehicle scheduling problem with due times and time deadlines, Int. Journal of Productions Econ., 73(2), pp.175-188. [8] Traveling salesman problem and related problems library doi: http://www.iwr.uni
There are 7 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

F. Nuriyeva This is me

G. Kizilates This is me

Publication Date June 1, 2017
Published in Issue Year 2017 Volume: 7 Issue: 1

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