Hybrid Adaptive Predictive Control for a Dynamic Pickup and Delivery Problem

Published Online:https://doi.org/10.1287/trsc.1080.0251

References

  • Bemporad A., Morari M. Control of systems integrating logic, dynamics and constraints. Automatica (1999) 35:407–427CrossrefGoogle Scholar
  • Bemporad A., Borrelli F., Morari M. Model predictive control based on linear programing. The explicit solution. IEEE Trans. Automatic Control (2002) 47(12):1974–1985CrossrefGoogle Scholar
  • Bertsimas D., van Ryzin G. A stochastic and dynamic vehicle routing problem in the Euclidean plane. Oper. Res. (1991) 39:601–615LinkGoogle Scholar
  • Bertsimas D., van Ryzin G. Stochastic and dynamic vehicle routing problem in the Euclidean plane with multiple capacitated vehicles. Oper. Res. (1993a) 41:60–76LinkGoogle Scholar
  • Bertsimas D., van Ryzin G. Stochastic and dynamic vehicle routing with general demand and interarrival time distributions. Appl. Probab. (1993b) 25:947–978CrossrefGoogle Scholar
  • Coelho J. P., de Moura Oliveira P. B., Cunha J. B. Greenhouse air temperature predictive control using the particle swarm optimisation algorithm. Comput. Electronics in Agriculture (2005) 49:330–344CrossrefGoogle Scholar
  • Cortés C. E., Jayakrishnan R. Analytical modeling of stochastic rerouting delays for dynamic multi-vehicle pickup and delivery problems. The Fifth Triennial Symposium on Transportation Analysis, TRISTAN V (2004) 13–18 JuneLe Gosier, GuadalupeGoogle Scholar
  • Desrosiers J., Soumis F., Dumas Y. A dynamic programming solution of a large-scale single-vehicle dial-a-ride with time windows. Amer. J. Math. Management Sci. (1986) 6:301–325CrossrefGoogle Scholar
  • Dial R. Autonomous dial a ride transit—Introductory overview. Transportation Res.—Part C (1995) 3:261–275CrossrefGoogle Scholar
  • Dréo J., Pétrowski A., Siarry P., Taillard E.Metaheuristics for Hard Optimization Methods and Case Studies (2006) (Springer-Verlag, Berlin) Google Scholar
  • Figliozzi M., Mahmassani H., Jaillet P. Pricing in dynamic vehicle routing problems. Transportation Sci. (2007) 41(3):302–318LinkGoogle Scholar
  • Gendreau M., Guertin F., Potvin J., Taillard E. Parallel tabu search for real-time vehicle routing and dispatching. Transportation Sci. (1999) 33:381–390LinkGoogle Scholar
  • George A., Powell W. Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming. (2005) . http://www.castlelab.princeton.edu/Google Scholar
  • Godfrey G., Powell W. B. An adaptive dynamic programming algorithm for stochastic resource allocation problems I: Single period travel times. Transportation Sci. (2002) 36:21–39LinkGoogle Scholar
  • Haghani A., Jung S. A dynamic vehicle routing problem with time-dependent travel times. Comput. Oper. Res. (2005) 32:2959–2986CrossrefGoogle Scholar
  • Ichoua S., Gendreau M., Potvin J. Y. Exploiting knowledge about future demands for real-time vehicle dispatching. Transportation Sci. (2006) 40(2):211–225LinkGoogle Scholar
  • Jaw J., Odoni A., Psaraftis H., Wilson N. A heuristic algorithm for the multivehicle many-to-many advance-request dial-a-ride problem. Transportation Res. B: Methodological (1986) 20(3):243–257CrossrefGoogle Scholar
  • Jih W., Yung-Jen J. Dynamic vehicle routing using hybrid genetic algorithms. Proc. IEEE Internat. Conf. Robotics & Automation (1999) MayDetroit, MI:453–458Google Scholar
  • Kennedy J., Eberhart R.Swarm Intelligence (2001) (Morgan Kaufmann Publishers, San Francisco) Google Scholar
  • Larsen A. The dynamic vehicle routing problem. (2000) . Ph.D. thesis, Technical University of Denmark, DenmarkGoogle Scholar
  • Madsen O., Raven H., Rygaard J. A Heuristics algorithm for a dial-a-ride problem with time windows, multiple capacities, and multiple objectives. Ann. Oper. Res. (1995) 60:193–208CrossrefGoogle Scholar
  • Malandraki C., Daskin M. S. Time dependent vehicle routing problems: Formulations, properties and heuristic algorithms. Transportation Sci. (1992) 26:185–200LinkGoogle Scholar
  • Montemanni R., Gambardella L. M., Rizzoli A. E., Donati A. Ant colony system for a dynamic vehicle routing problem. J. Combin. Optim. (2005) 10(4):327–343CrossrefGoogle Scholar
  • Osman M., Abo-Sinna M., Mousa A. An effective genetic algorithm approach to multiobjective routing problems (MORPs). Appl. Math. Comput. (2005) 163:769–781CrossrefGoogle Scholar
  • Powell W. B., Golden B. L., Assad A. A. A comparative review of alternative algorithms for the dynamic vehicle allocation problem. Vehicle Routing Methods and Studies (1988) (North-Holland, Amsterdam) Google Scholar
  • Powell W. B., Jaillet P., Odoni A., Ball M., Magnanti T., Monma C., Nemhauser G. Stochastic and dynamic networks and routing. Network Routing. A Handbook in Operations Research and Management Science (1995) 8(North-Holland, Amsterdam) 141–296Google Scholar
  • Psaraftis H. A dynamic programming solution to the single many-to-many immediate request dial-a-ride problem. Transportation Sci. (1980) 14(2):130–154LinkGoogle Scholar
  • Psaraftis H., Golden B. L., Assad A. A. Dynamic vehicle routing problems. Vehicle Routing Methods and Studies (1988) (North-Holland, Amsterdam) 223–248Google Scholar
  • Savelsbergh M., Sol M. The general pickup and delivery problem. Transportation Sci. (1995) 29(1):17–29LinkGoogle Scholar
  • Skrlec D., Filipec M., Krajcar S. A heuristic modification of genetic algorithm used for solving the single depot capacitated vehicle routing problem. Proc. Intelligent Inform. Systems, IIS '97 (1997) (IEEE, Washington, D.C.) 184–188CrossrefGoogle Scholar
  • Spivey M., Powell W. B. The dynamic assignment problem. Transportation Sci. (2004) 38(4):399–419LinkGoogle Scholar
  • Swihart M. R., Papastavrou J. D. A stochastic and dynamic model for the single-vehicle pick-up and delivery problem. Eur. J. Oper. Res. (1999) 114:447–464CrossrefGoogle Scholar
  • Tarantilis C. Solving the vehicle routing problem with adaptive memory programming methodology. Comput. Oper. Res. (2005) 32:2309–2327CrossrefGoogle Scholar
  • Thomas B., White C. Anticipatory route selection. Transportation Sci. (2004) 38(4):473–487LinkGoogle Scholar
  • Tighe A., Smith F., Lyons G. Priority based solver for a real-time dynamic vehicle routing. IEEE Internat. Conf. Systems, Man and Cybernetics (2004) (IEEE)6237–6242CrossrefGoogle Scholar
  • Topaloglu H., Powell W. A distributed decision-making structure for dynamic resource allocation using non linear functional approximations. Oper. Res. (2005) 53(2):281–297LinkGoogle Scholar
  • Topaloglu H., Powell W. Incorporating pricing decisions into the stochastic dynamic fleet management problem. Transportation Sci. (2007) 41(3):281–301LinkGoogle Scholar
  • Toth P., Vigo D. The granular tabu search and its application to the vehicle-routing problem. INFORMS J. Comput. (2003) 15(4):0333–0346LinkGoogle Scholar
  • Wang X., Xiao J. PSO-based model predictive control for nonlinear processes. Lecture Notes in Computer Science (2005) 3611(Springer-Verlag, Berlin) 196–203Google Scholar
  • Wilson N., Colvin N. Computer control of Rochester dial-a-ride system. (1977) . Report R77-31, Department of Civil Engineering, M.I.T., Cambridge, MAGoogle Scholar
  • Wilson N., Weissberg H. Advanced dial-a-ride algorithms research project: Final report. (1976) . Report R76-20, Department of Civil Engineering, M.I.T., Cambridge, MAGoogle Scholar
  • Zhu Q., Qian L., Li Y., Zhu S. An improved particle swarm optimization algorithm for vehicle routing problem with time windows. (2006) IEEE Congress on Evolutionary ComputationJuly 16–21VancouverGoogle 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.