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Items where Author is "Cambazard, Hadrien"

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Number of items: 7.

D

Daras, G., Agard, B., Cambazard, H., & Penz, B. (2015, May). Development of business spatial analysis tools: Methodology and framework [Paper]. 15th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2015), Ottawa, Ontario. Published in IFAC-PapersOnLine, 48(3). External link

Daras, G., Agard, B., Penz, B., & Cambazard, H. (2015, October). Développement d'outils d'analyse géo-spatiale pour la vente et la distribution : Méthodologie et plateforme [Paper]. 11e Congrès international de génie industriel (CIGI 2015), Québec, Canada. External link

M

Malapert, A., Gueret, C., Cambazard, H., Jussien, N., Langevin, A., & Rousseau, L.-M. (2013, June). An optimal constraint programming approach to the open-shop problem [Paper]. 23rd International Conference on Automated Planning and Scheduling (ICAPS 2013), Rome, Italy. Published in Proceedings of the International Conference on Automated Planning and Scheduling, 23. External link

Malapert, A., Cambazard, H., Gueret, C., Jussien, N., Langevin, A., & Rousseau, L.-M. (2012). Optimal Constraint Programming Approach to the Open-Shop Problem. INFORMS Journal on Computing, 24(2), 228-244. External link

Malapert, A., Cambazard, H., Guéret, C., Jussien, N., Langevin, A., & Rousseau, L.-M. (2009). Constraint Programming Approach to the Open-Shop Problem. (Technical Report n° CIRRELT-2009-25). External link

P

Pommerening, F., Roger, G., Helmert, M., Cambazard, H., Rousseau, L.-M., & Salvagnin, D. (2021, January). Lagrangian decomposition for classical planning (extended abstract) [Paper]. 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan. External link

Pommerening, F., Röger, G., Helmert, M., Cambazard, H., Rousseau, L.-M., & Salvagnin, D. (2019, July). Lagrangian decomposition for optimal cost partitioning [Paper]. 29th International Conference on Automated Planning and Scheduling (ICAPS 2019), Berkeley, CA. Published in Proceedings of the International Conference on Automated Planning and Scheduling, 29. External link

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