Articles citing this article

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Cited article:

Integration of Constraint Programming, Artificial Intelligence, and Operations Research

Claire Hanen, Alix Munier Kordon and Theo Pedersen
Lecture Notes in Computer Science, Integration of Constraint Programming, Artificial Intelligence, and Operations Research 12735 214 (2021)
https://doi.org/10.1007/978-3-030-78230-6_14

An efficient pseudo-polynomial algorithm for finding a lower bound on the makespan for the Resource Constrained Project Scheduling Problem

Dmitry Arkhipov, Olga Battaïa and Alexander Lazarev
European Journal of Operational Research 275 (1) 35 (2019)
https://doi.org/10.1016/j.ejor.2018.11.005

A preemptive bound for the Resource Constrained Project Scheduling Problem

Mohamed Haouari, Anis Kooli, Emmanuel Néron and Jacques Carlier
Journal of Scheduling 17 (3) 237 (2014)
https://doi.org/10.1007/s10951-013-0354-9

Enhanced energetic reasoning-based lower bounds for the resource constrained project scheduling problem

Mohamed Haouari, Anis Kooli and Emmanuel Néron
Computers & Operations Research 39 (5) 1187 (2012)
https://doi.org/10.1016/j.cor.2011.05.022

An approximate decomposition algorithm for scheduling on parallel machines with heads and tails

Anis Gharbi and Mohamed Haouari
Computers & Operations Research 34 (3) 868 (2007)
https://doi.org/10.1016/j.cor.2005.05.012

Energetic reasoning and bin-packing problem, for bounding a parallel machine scheduling problem

Fabrice Tercinet, Emmanuel Néron and Christophe Lenté
4OR 4 (4) 297 (2006)
https://doi.org/10.1007/s10288-006-0017-1

A branch and bound algorithm for the resource-constrained project scheduling problem

Peter Brucker, Sigrid Knust, Arno Schoo and Olaf Thiele
European Journal of Operational Research 107 (2) 272 (1998)
https://doi.org/10.1016/S0377-2217(97)00335-4

Principles and Practice of Constraint Programming-CP97

Philippe Baptiste and Claude Le Pape
Lecture Notes in Computer Science, Principles and Practice of Constraint Programming-CP97 1330 375 (1997)
https://doi.org/10.1007/BFb0017454