equipos actuales :	ACASA ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MLIA MOCAH MoVe NPA PEQUAN Phare PolSys QI RO SMA SYEL Whisper
Antiguos equipos :	AnimatLab MALIRE REGAL SALSA SPI SPIRAL
Antiguos temas de investigación :	ANP APA ASIM CALFOR OASIS RP SPI SRC SYSDEF

Publicaciones DECISION	2015	2016	2017	2018	2019	2020	Total
Libros	0	0	0	0	0	0	0
Libros editados	0	0	0	1	0	0	1
Artículos de revistas	12	15	13	8	4	3	55
Capítulos de libros	0	2	2	0	0	2	6
Documentos de conferencias	29	25	14	10	20	10	108
Habilitaciones	0	1	0	0	0	0	1
Tesis	1	3	4	1	0	0	9

LIP6

• N. Benabbou, P. Perny, P. Viappiani : “Incremental elicitation of choquet capacities for multicriteria choice, ranking and sorting problems”, Artificial Intelligence, vol. 246, pp. 152-180, (Elsevier) [Benabbou 2017b]
• J. Chlebíková, M. Chopin : “The firefighter problem: Further steps in understanding its complexity”, Theoretical Computer Science, (Elsevier) [Chlebíková 2017]
• V. Coelho, Th. Oliveira, I. Coelho, B. Coelho, P. Fleming, F. Guimarães, H. Ramalhinho, M. Souza, E.‑Gh. Talbi, Th. Lust : “Generic Pareto local search metaheuristic for optimization of targeted offers in a bi-objective direct marketing campaign”, Computers and Operations Research, vol. 78, pp. 578-587, (Elsevier) [Coelho 2017]
• S. Cortijo, Ch. Gonzales : “On conditional truncated densities Bayesian networks”, International Journal of Approximate Reasoning, (Elsevier) [Cortijo 2017]
• H. Gilbert, O. Spanjaard : “A double oracle approach to minmax regret optimization problems with interval data”, European Journal of Operational Research, (Elsevier) [Gilbert 2017c]
• Ih. Haidar, I. Alvarez, A.‑C. Prévot : “Mathematical modeling of an urban pigeon population subject to local management strategies”, Mathematical Biosciences, vol. 288, pp. 71-83, (Elsevier) [Haidar 2017]
• L. Hillah, A.‑P. Maesano, F. De Rosa, F. Kordon, P.‑H. Wuillemin, R. Fontanelli, S. Di Bona, D. Guerri, L. Maesano : “Automation and intelligent scheduling of distributed system functional testing: Model-based functional testing in practice”, International Journal on Software Tools for Technology Transfer, vol. 19 (3), pp. 281-308, (Springer Verlag) [Hillah 2017a]
• A. Jaszkiewicz, Th. Lust : “Proper balance between search towards and along Pareto front: biobjective TSP case study”, Annals of Operations Research, vol. 254 (1-2), pp. 111-130, (Springer Verlag) [Jaszkiewicz 2017]
• M. Minoux : “A class of efficiently solvable multistage optimization problems under uncertainty and applications”, IMA Journal of Management Mathematics, vol. 28 (1), pp. 87-107, (Oxford University Press (OUP)) [Minoux 2017a]
• M. Minoux : “Robust and stochastic multistage optimisation under Markovian uncertainty with applications to production/inventory problems”, International Journal of Production Research, vol. 56 (1-2), pp. 565-583, (Taylor & Francis) [Minoux 2017b]
• M. Minoux, R. Zorgati : “Global probability maximization for a gaussian bilateral inequality in polynomial time”, Journal of Global Optimization, (Springer Verlag) [Minoux 2017c]
• P. Weng, O. Spanjaard : “Functional Reward Markov Decision Processes: Theory and Applications”, International Journal on Artificial Intelligence Tools, vol. 26 (03), (World Scientific Publishing) [Weng 2017]