Scheduling and constraint propagation
Discrete Applied Mathematics
Advances in evolutionary computing
Solving Project Scheduling Problems by Minimum Cut Computations
Management Science
A Branch-and-Cut Procedure for the Multimode Resource-Constrained Project-Scheduling Problem
INFORMS Journal on Computing
An effective algorithm for project scheduling with arbitrary temporal constraints
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
A double genetic algorithm for the MRCPSP/max
Computers and Operations Research
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
New model and heuristics for safety stock placement in general acyclic supply chain networks
Computers and Operations Research
Schedule robustness through broader solve and robustify search for partial order schedules
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
Project scheduling: a review of recent books
Operations Research Letters
Proceedings of the Winter Simulation Conference
Solving RCPSP/max by lazy clause generation
Journal of Scheduling
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Resource-constrained project scheduling with generalised precedence constraints is a very general scheduling model with applications in areas such as make-to-order production planning. We describe a time-oriented branch-and-bound algorithm that uses constraint-propagation techniques which actively exploit the temporal and resource constraints of the problem in order to reduce the search space. Extensive computational experiments with systematically generated test problems show that the algorithm solves more problems to optimality than other exact solution procedures which have recently been proposed, and that the truncated version of the algorithm is also a very good heuristic.