C++ code using ILOG Solver&Scheduler for TSP with time windows. The Traveling Salesman Problem with Time Windows (TSPTW) is the problem of finding a minimum-cost path visiting a set of cities exactly once, where each city must be visited within a specific time window. We propose a hybrid approach for solving the TSPTW that merges Constraint Programming propagation algorithms for the feasibility viewpoint (find a path), and Operations Research techniques for coping with the optimization perspective (find the best path). We show with extensive computational results that the synergy between Operations Research optimization techniques embedded in global constraints, and Constraint Programming constraint solving techniques, makes the resulting framework effective in the TSPTW context also if these results are compared with state-of-the-art algorithms from the literature.

References in zbMATH (referenced in 39 articles , 1 standard article )

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  1. Ermağan, Umut; Yıldız, Barış; Salman, F. Sibel: A learning based algorithm for drone routing (2022)
  2. Tarhan, İstenç; Oğuz, Ceyda: A matheuristic for the generalized order acceptance and scheduling problem (2022)
  3. Bertagnon, Alessandro: Constraint programming algorithms for route planning exploiting geometrical information (2020)
  4. Boland, Natashia L.; Savelsbergh, Martin W. P.: Perspectives on integer programming for time-dependent models (2019)
  5. O’Neil, Ryan J.; Hoffman, Karla: Decision diagrams for solving traveling salesman problems with pickup and delivery in real time (2019)
  6. Hooker, J. N.; van Hoeve, W.-J.: Constraint programming and operations research (2018)
  7. Boland, Natashia; Hewitt, Mike; Vu, Duc Minh; Savelsbergh, Martin: Solving the traveling salesman problem with time windows through dynamically generated time-expanded networks (2017)
  8. Khan, Indadul; Maiti, Manas Kumar; Maiti, Manoranjan: Coordinating particle swarm optimization, ant colony optimization and (K)-Opt algorithm for traveling salesman problem (2017)
  9. Fages, Jean-Guillaume; Lorca, Xavier; Rousseau, Louis-Martin: The salesman and the tree: the importance of search in CP (2016)
  10. Xu, Liang; Wang, Yao; Liu, Lin; Wang, Jiaxing: Exact and heuristic algorithms for routing AGV on path with precedence constraints (2016)
  11. Karabulut, Korhan; Fatih Tasgetiren, M.: A variable iterated greedy algorithm for the traveling salesman problem with time windows (2014)
  12. Baldacci, Roberto; Mingozzi, Aristide; Roberti, Roberto: New state-space relaxations for solving the traveling salesman problem with time windows (2012)
  13. Benchimol, Pascal; van Hoeve, Willem-Jan; Régin, Jean-Charles; Rousseau, Louis-Martin; Rueher, Michel: Improved filtering for weighted circuit constraints (2012)
  14. Berbeglia, Gerardo; Cordeau, Jean-François; Laporte, Gilbert: A hybrid tabu search and constraint programming algorithm for the dynamic dial-a-ride problem (2012)
  15. Dash, Sanjeeb; Günlük, Oktay; Lodi, Andrea; Tramontani, Andrea: A time bucket formulation for the traveling salesman problem with time windows (2012)
  16. Frederickson, Greg N.; Wittman, Barry: Approximation algorithms for the traveling repairman and speeding deliveryman problems (2012)
  17. Kiziltan, Zeynep; Lodi, Andrea; Milano, Michela; Parisini, Fabio: Bounding, filtering and diversification in CP-based local branching (2012)
  18. van Hoeve, Willem-Jan: Semidefinite programming and constraint programming (2012)
  19. Cattafi, Massimiliano; Gavanelli, Marco; Nonato, Maddalena; Alvisi, Stefano; Franchini, Marco: Optimal placement of valves in a water distribution network with (CLP(FD)) (2011)
  20. Kovács, András; Beck, J. Christopher: A global constraint for total weighted completion time for unary resources (2011)

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