Dispatching of an Electric Monorail System: Applying Metaheuristics to an Online Pickup and Delivery Problem

Published Online:https://doi.org/10.1287/trsc.1030.0066

References

  • Ascheuer N., Grötschel M., Rambau J. Combinatorial online optimization in practice. Optima Newsletter (1998) 57:1–6Google Scholar
  • Ascheuer N., Grötschel M., Abdel-Aziz Abdel-Hamid A. Order picking in an automatic warehouse: Solving online asymmetric TSPs. Math. Methods Oper. Res. (1999a) 49:501–515CrossrefGoogle Scholar
  • Ascheuer N., Grötschel M., Krumke S. O., Rambau J., Kall P., Lüthi H. -J. Combinatorial online optimization. Oper. Res. Proc. 1998 (1999b) (Springer, Berlin, Germany) 21–37Google Scholar
  • Battiti R. Reactive search: Toward self-tuning heuristics. Modern Heuristic Search Methods (1996) (Wiley, Chichester, U.K.) 61–83Google Scholar
  • Bodin L., Golden B., Assad A., Ball M. Routing and scheduling of vehicles and crews: The state of the art. Comput. Oper. Res. (1983) 10:63–221CrossrefGoogle Scholar
  • Böse J., Reiners T., Steenken D., Voß S., Sprague R. H. Vehicle dispatching at seaport container terminals using evolutionary algorithms. Proc. 33rd Annual Hawaii Internat. Conf. System Sci., IEEE (2000) Piscataway, NJ:1–10Google Scholar
  • Breitenbach C., Carl G., Voß S. Transportkostenminimierung versus Servicegradmaximierung im Rahmen einer computergestützten Tourenplanung. Zeitschrift für Planung (1993) 4:363–380Google Scholar
  • Caramia M., Italiano G. F., Oriolo G., Pacifici A., Perugia A., Chamoni P., Leisten R., Martin A., Minnemann J., Stadtler H. Routing a fleet of vehicles for dynamic combined pick-up and deliveries services. Oper. Res. Proc. 2001 (2002) (Springer, Berlin, Germany) 3–8Google Scholar
  • Černý V. Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm. J. Optimization Theory Appl. (1985) 45:41–51CrossrefGoogle Scholar
  • Desrochers M., Lenstra J. K., Savelsbergh M. W. P. A classification scheme for vehicle routing and scheduling problems. Eur. J. Oper. Res. (1990) 46:322–332CrossrefGoogle Scholar
  • Desrosiers J., Dumas Y., Solomon M. M., Soumis F. Time constrained routing and scheduling. Handbooks in Operations Research and Management Science, Vol. 8: Network Routing (1995) (North-Holland, Amsterdam, The Netherlands)35–139Google Scholar
  • Dijkstra E. A note on two problems in connexion with graphs. Numer. Math. (1959) 1:269–271CrossrefGoogle Scholar
  • Dowsland K. A., Reeves C. Simulated annealing. Modern Heuristic Techniques for Combinatorial Problems (1993) (Blackwell, Halstead, U.K.) 20–69Google Scholar
  • Egbelu P. J., Tanchoco J. M. A. Characterization of automatic guided vehicle dispatching rules. Internat. J. Production Res. (1984) 22:359–374CrossrefGoogle Scholar
  • Eglese R. W. Simulated annealing: A tool for operational research. Eur. J. Oper. Res. (1990) 46:271–281CrossrefGoogle Scholar
  • Fiat A., Woeginger G. J.Online Algorithms: The State of the Art (1998) (Springer, Berlin, Germany) CrossrefGoogle Scholar
  • Fiat A., Karp M. R., Luby M., McGeoch L. A., Sleator D. D., Young N. E. Competitive paging algorithms. J. Algorithms (1991) 12:685–699CrossrefGoogle Scholar
  • Fink A.Software-Wiederverwendung bei der Lösung von Planungsproblemen mittels Meta-Heuristiken (2000) (Shaker, Aachen) Google Scholar
  • Fink A., Voß S. Generic metaheuristics application to industrial engineering problems. Comput. Indust. Engrg. (1999) 37:281–284CrossrefGoogle Scholar
  • Fink A., Voß S., Voß S., Woodruff D. L. HotFrame: A heuristic optimization framework. Optimization Software Class Libraries (2002) (Kluwer, Boston, MA) 81–154Google Scholar
  • Fisher M. L., Jörnsten K. O., Madsen O. B. G. Vehicle routing with time windows: Two optimization algorithms. Oper. Res. (1997) 45:488–492LinkGoogle Scholar
  • Gendreau M., Laporte G., Semet F. A dynamic model and parallel tabu search heuristic for real-time ambulance relocation. Parallel Comput. (2001) 27:1641–1653CrossrefGoogle Scholar
  • Gendreau M., Guertin F., Potvin J.-Y., Taillard E. Parallel tabu search for real-time vehicle routing and dispatching. Transportation Sci. (1999) 33:381–390LinkGoogle Scholar
  • Glover F., Laguna M.Tabu Search (1997) (Kluwer, Boston, MA) CrossrefGoogle Scholar
  • Goetschalckx M., Ratliff H. D. Sequencing picking operations in a man-aboard order picking system. Material Flow (1988) 4:255–263Google Scholar
  • Gutenschwager K.Online-Dispositionsprobleme in der Lagerlogistik: Modellierung—Lösungsansätze—Praktische Umsetzung (2002) (Physica, Heidelberg, Germany) CrossrefGoogle Scholar
  • Gutenschwager K., Lößl F., Stock B. Simulationsstudie zur Optimierung eines Logistikzentrums. Logistik für Unternehmen (2000) 14(11):57–61Google Scholar
  • Hajek B. Cooling schedules for optimal annealing. Math. Oper. Res. (1988) 13:311–329LinkGoogle Scholar
  • Han M. H., McGinnis L. F., Shieh J. S., White J. A. On sequencing retrievals in an automated storage/retrieval system. IIE Trans. (1987) 19:56–66CrossrefGoogle Scholar
  • Hasan M., Alkhamis T. Simulated annealing procedure for scheduling competing tasks in flexible manufacturing. Production Planning Control (1997) 8:356–362CrossrefGoogle Scholar
  • Ichoua S., Gendreau M., Potvin J.-Y. Diversion issues in real-time vehicle dispatching. Transportation Sci. (2000) 34:426–438LinkGoogle Scholar
  • Irani S., Fiat A., Woeginger G. J. Competitive analysis of paging. Online-Algorithms: The State of the Art (1998) (Springer, Berlin, Germany) 52–73CrossrefGoogle Scholar
  • Johnson D. S., Aragon C. R., McGeoch L. A., Schevon C. Optimization by simulated annealing: An experimental evaluation: Part I, graph partitioning. Oper. Res. (1989) 37:865–892LinkGoogle Scholar
  • Johnson D. S., Aragon C. R., McGeoch L. A., Schevon C. Optimization by simulated annealing: An experimental evaluation: Part II, graph coloring and number partitioning. Oper. Res. (1991) 39:378–406LinkGoogle Scholar
  • Kirkpatrick S., Gelatt Jr C. D., Vecchi M. P. Optimization by simulated annealing. Science (1983) 220:671–680CrossrefGoogle Scholar
  • Kohout R., Erol K. In-time agent-based vehicle routing with a stochastic improvement heuristic. Proc. 16th National Conf. Artificial Intelligence 11th Conf. Innovative Appl. Artificial Intelligence (1999) (AAAI Press/MIT Press, Menlo Park, CA) 864–869Google Scholar
  • Laporte G. The vehicle routing problem: An overview of exact and approximate algorithms. Eur. J. Oper. Res. (1992) 59:345–358CrossrefGoogle Scholar
  • Larsen A., Madsen O., Solomon M. Partially dynamic vehicle routing: Models and algorithms. J. Operational Res. Soc. (2002) 53:638–646CrossrefGoogle Scholar
  • McGeoch L. A., Sleator D. D.On-line Algorithms. Volume 7 of DIMACS Series in Discrete Mathematics and Theoretical Computer Science (1991) (AMS/ACM, Providence, RI) Google Scholar
  • Osman I. H. Metastrategy simulated annealing and tabu search algorithms for the vehicle routing problem. Ann. Oper. Res. (1993) 41:421–451CrossrefGoogle Scholar
  • Psaraftis H. N. A dynamic programming solution to the single vehicle many-to-many immediate request dial-a-ride problem. Transportation Sci. (1980) 14:130–154LinkGoogle Scholar
  • Psaraftis H. N. An exact algorithm for the single vehicle many-to-many dial-a-ride problem with time windows. Transportation Sci. (1983) 17:351–357LinkGoogle Scholar
  • Psaraftis H. N. Dynamic vehicle routing. Ann. Oper. Res. (1995) 61:143–164CrossrefGoogle Scholar
  • Ratliff H. D., Rosenthal A. S. Orderpicking in a rectangular warehouse: A solvable case of the traveling salesman. Oper. Res. (1983) 31:507–521LinkGoogle Scholar
  • Sandvoß E.Dynamische Tourenplanung auf der Basis von online-Verkehrsinformationen (2002) (Universität Augsburg, Germany) . Ph.D. thesisGoogle Scholar
  • Savelsbergh M. W. P., Sol M. The general pickup and delivery problem. Transportation Sci. (1995) 29:17–29LinkGoogle Scholar
  • Savelsbergh M. W. P., Sol M. DRIVE: Dynamic routing of independent vehicles. Oper. Res. (1998) 46:474–490LinkGoogle Scholar
  • Sleator D. D., Tarjan R. E. Amortized efficiency of list-update and paging rules. Comm. ACM (1985) 28:202–208CrossrefGoogle Scholar
  • Solomon M. M. Algorithms for vehicle routing and scheduling problems with time window constraints. Oper. Res. (1987) 35:254–265LinkGoogle Scholar
  • Vidal R. V. V.Applied Simulated Annealing. Lecture Notes in Economics and Mathematical Systems (1993) 396(Springer, Berlin, Germany) CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.