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  • Approximate solution of the extended multiple traveling salesman problem with min-max criterion. The extension includes: 1) multiple starting cites (multi-depot); 2) initial penalization of salesmen; 3) non zero costs of cities; 4) possible specification of closed/opened paths for particular salesmen. An input of the program is a complete nonoriented graph given as a distance matrix that is created from cities needed to be visited. In addition, a set of available salesmen is given. The program find a solution of the problem with the smallest number of salesmen while the solution quality (a length of the longest path) is under given limit.
  • Approximate solution of the extended multiple traveling salesman problem with min-max criterion. The extension includes: 1) multiple starting cites (multi-depot); 2) initial penalization of salesmen; 3) non zero costs of cities; 4) possible specification of closed/opened paths for particular salesmen. An input of the program is a complete nonoriented graph given as a distance matrix that is created from cities needed to be visited. In addition, a set of available salesmen is given. The program find a solution of the problem with the smallest number of salesmen while the solution quality (a length of the longest path) is under given limit. (en)
Title
  • Approximate Solution of the Multi-Depot Multiple Traveling Salesman Problem with MinMax Criterion
  • Approximate Solution of the Multi-Depot Multiple Traveling Salesman Problem with MinMax Criterion (en)
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  • Approximate Solution of the Multi-Depot Multiple Traveling Salesman Problem with MinMax Criterion
  • Approximate Solution of the Multi-Depot Multiple Traveling Salesman Problem with MinMax Criterion (en)
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  • RIV/68407700:21230/10:00175433!RIV11-MSM-21230___
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  • 247578
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  • RIV/68407700:21230/10:00175433
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  • MTSP_MDEPOT
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  • Multiple Traveling Salesman Problem; MTSP (en)
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  • [40292764E5B2]
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  • k dispozici u autora na xfaigl@labe.felk.cvut.cz
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  • Zdrojové soubory pod omezenou (tří bodovou) BSD licencí.
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  • Faigl, Jan
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  • 21230
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