Scenario Tree-Based Heuristics for Stochastic Inventory-Routing Problems
Published Online:9 Oct 2008https://doi.org/10.1287/ijoc.1080.0291
References
- A price-directed approach to stochastic inventory/routing. Oper. Res. (2004) 52(4):499–514Link, Google Scholar
- A decomposition approach for the inventory-routing problem. Transportation Sci. (2004) 38(4):488–502Link, Google Scholar
- , Crainic T. G., Laporte G. The inventory-routing problem. Fleet Management and Logistics (1998) (Kluwer, Boston) 95–113Crossref, Google Scholar
- An integrated inventory allocation and vehicle routing problem. Transportation Sci. (1989) 23(2):67–76Link, Google Scholar
- An annotated bibliography of GRASP. (2004) . Technical Report TD-5WYSEW, AT&T Labs Research, Florham Park, NJGoogle Scholar
- , Laguna M., González-Velarde J. L. Multi-start and strategic oscillation methods—Principles to exploit adaptive memory. OR Computing Tools for Modeling, Optimization and Simulation: Interfaces in Computer Science and Operations Research (2000) (Kluwer, Boston) 1–24Crossref, Google Scholar
- A heuristic for moment-matching scenario generation. Comput. Optim. Appl. (2003) 24(2–3):169–185Crossref, Google Scholar
- , Karlof J. New heuristics and adaptive memory procedures for Boolean optimization problems. Integer Programming: Theory and Practice (2005) (CRC Press, Boca Raton, FL) 1–18Google Scholar
- Evaluation of scenario-generation methods for stochastic programming. Pacific J. Optim. (2007) 3(2):257–271Google Scholar
- The stochastic inventory-routing problem with direct deliveries. Transportation Sci. (2002) 36(1):94–118Link, Google Scholar
- Dynamic programming approximations for a stochastic inventory-routing problem. Transportation Sci. (2004) 38(1):42–70Link, Google Scholar
- , Voß S., Martello S., Osman I. H., Roucairol C. Candidate list and exploration strategies for solving 0/1 MIP problems using a pivot neighborhod. Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimization (1999) (Kluwer, Dordrecht, The Netherlands) 141–154Crossref, Google Scholar
- Approximate Dynamic Programming: Solving the Curses of Dimensionality (2007) (Wiley, Hoboken, NJ) Crossref, Google Scholar
- Reactive GRASP: An application to a matrix decomposition problem in TDMA traffic assignment. INFORMS J. Comput. (2000) 12(3):164–176Link, Google Scholar
- Markov Decision Processes (1994) (John Wiley & Sons, New York) Crossref, Google Scholar
- , Glover F., Kochenberger G. A. Greedy randomized adaptive search procedures. Handbook of Metaheuristics (2003) (Kluwer, Boston) 219–249Crossref, Google Scholar

