A pro-active real-time control approach for dynamic vehicle routing problems dealing with the delivery of urgent goods

Author:

Ferrucci Francesco,Bock Stefan,Gendreau Michel

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference44 articles.

1. Bent, R., van Hentenryck, P., 2004a. Regrets only! Online stochastic optimization under time constraints. In: Proceedings of the Nineteenth National Conference on Artificial Intelligence (AAAI-2004), San Jose, California, pp. 501–506.

2. Scenario-based planning for partially dynamic vehicle routing with stochastic customers;Bent;Operations Research,2004

3. Bent, R., van Hentenryck, P., 2004c. The value of consensus in online stochastic scheduling. In: Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling (ICAPS-2004), Whistler, British Columbia, Canada, pp. 219–226.

4. Bent, R., van Hentenryck, P., 2005. Online stochastic optimization without distributions. In: Proceedings of the Fifteenth International Conference on Automated Planning and Scheduling (ICAPS-2005), Monterey, California, pp. 171–180.

5. Bent, R., van Hentenryck, P., 2007. Waiting and relocation strategies in online stochastic vehicle routing. In: Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI 2007), Hyderabad, India, pp. 1816–1821.

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