Neuroevolutionary inventory control in multi-echelon systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5783 LNAI, Issue , 2009, Pages 402-413

  Prestwich, Steve D ^a   Tarim, S Armagan ^b   Rossi, Roberto ^c   Hnich, Brahim ^d  

^a UNIVERSITY COLLEGE CORK   (Ireland)

^b UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^c WAGENINGEN UNIVERSITY   (Netherlands)

^d IZMIR UNIVERSITY OF ECONOMICS   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE APPROACH; ARTIFICIAL NEURAL NETWORK; DECISION VARIABLES; HARD PROBLEMS; MULTIECHELON; NEAR-OPTIMAL SOLUTIONS; NON-LINEAR CONSTRAINTS; OPTIMISATIONS; REDUCTION TECHNIQUES; SCENARIO TREE; SIMULATION OPTIMISATION; SIMULATION-BASED; STOCHASTIC INVENTORY;

COMPUTER SIMULATION; DECISION TREES; EVOLUTIONARY ALGORITHMS; GAME THEORY; INVENTORY CONTROL; OPTIMIZATION; STOCHASTIC SYSTEMS;

NEURAL NETWORKS;

EID: 71549146592     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04428-1_35     Document Type: Conference Paper

References (19)

1. Arnold, J., Köchel, P.: Evolutionary Optimisation of a Multi-Location Inventory Model With Lateral Transshipments. In: 9th International Working Seminar on Production Economics, Igls, vol. 2, pp. 401-412 (1996); Preprints
2. Bäck, T., Hoffmeister, F., Schwefel, H.-P.: A Survey of Evolution Strategies. In: 4th International Conference on Genetic Algorithms (1991)
3. Birge, J.R., Louveaux, F.: Introduction to Stochastic Programming. Springer, New York (1997)
4. Chaharsooghi, S.K., Heydari, J., Zegordi, S.H.: A Reinforcement Learning Model for Supply Chain Ordering Management: an Application to the Beer Game. Decision Support Systems 45(4), 949-959 (2008)
5. Fu, M.C.: Optimization for Simulation: Theory vs Practice. INFORMS Journal of Computing 14, 192-215 (2002)
6. Gaafar, L.K., Choueiki, M.H.: A Neural Network Model for Solving the Lot-Sizing Problem. Omega 28(2), 175-184 (2000)
7. Giannoccaro, I., Pontrandolfo, P.: Inventory Management in Supply Chains: a Reinforcement Learning Approach. International Journal of Production Economics 78(2), 153-161 (2002)
8. Gomez, F., Schmidhuber, J., Miikkulainen, R.: Efficient Non-Linear Control Through Neuroevolution. Journal of Machine Learning Research 9, 937-965 (2008)
9. Hewahi, N.M.: Engineering Industry Controllers Using Neuroevolution. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 19(1), 49-57 (2005)
10. Jiang, C., Shenga, Z.: Case-Based Reinforcement Learning for Dynamic Inventory Control in a Multi-Agent Supply-Chain System. Expert Systems with Applications 36(3 part 2), 6520- 6526 (2009)
11. Kleinau, P., Thonemann, U.W.: Deriving Inventory-Control Policies With Genetic Programming. OR Spectrum 26(4), 521-546 (2004)
12. Köchel, P.: Simulation (Optimisation) in Inventory Theory. Tutorial, 8th ISIR Summer School on New and Classical Streams in Inventory Management: Advances in Research and Opening Frontiers (2007)
13. Köchel, P., Nieländer, U.: Simulation-Based Optimisation of Multi-Echelon Inventory Systems. International Journal of Production Economics 1, 503-513 (2005)
14. Lubberts, A., Miikkulainen, R.: Co-Evolving a Go-Playing Neural Network. In: Genetic and Evolutionary Computation Conference, pp. 14-19. Kaufmann, San Francisco (2001)
15. Olsen, A.L.: An Evolutionary Algorithm for the Joint Replenishment of Inventory with Interdependent Ordering Costs. In: Cantú-Paz, E., Foster, J.A., Deb, K., Davis, L., Roy, R., O'Reilly, U.-M., Beyer, H.-G., Kendall, G., Wilson, S.W., Harman, M., Wegener, J., Dasgupta, D., Potter, M.A., Schultz, A., Dowsland, K.A., Jonoska, N., Miller, J., Standish, R.K. (eds.) GECCO 2003. LNCS, vol. 2724, pp. 2416-2417. Springer, Heidelberg (2003)
16. Pollack, J.B., Blair, A.D.: Co-Evolution in the Successful Learning of Backgammon Strategy. Machine Learning 32(3), 225-240 (1998)
17. Prestwich, S.D., Tarim, S.A., Rossi, R., Hnich, B.: A Steady-State Genetic Algorithm With Resampling for Noisy Inventory Control. In: Rudolph, G., Jansen, T., Lucas, S., Poloni, C., Beume, N. (eds.) PPSN 2008. LNCS, vol. 5199, pp. 559-568. Springer, Heidelberg (2008)
18. Prestwich, S.D., Tarim, S.A., Rossi, R., Hnich, B.: A Cultural Algorithm for POMDPs from Stochastic Inventory Control. In: Blesa,M.J., Blum, C., Cotta, C., Fernández, A.J., Gallardo, J.E., Roli, A., Sampels, M. (eds.) HM 2008. LNCS, vol. 5296, pp. 16-28. Springer, Heidelberg (2008)
19. Van Roy, B., Bertsekas, D.P., Lee, Y., Tsitsiklis, J.N.: A Neuro-Dynamic Programming Approach to Retailer Inventory Management. In: Proceedings of the IEEE Conference on Decision and Control (1997)