Abstract
This paper deals with the resource constrained project scheduling problem (RCPSP) with generalized precedence constraints (RCPSP/Max). We propose an exact method that tackles a relaxed version of the original problem by modeling it as a satisfiability problem (SAT). Several SAT formulations are introduced, as well as workload-based procedures that were developed in order to reduce the domain of the decision variables, and custom propagators that were implemented with a view of improving the efficiency of the SAT solver. Extensive computational experiments involving different configurations of the method were carried out on 2430 RCPSP/Max benchmark instances ranging from 10 to 500 activities and with 5 resources, and on 2040 RCPSP benchmark instances ranging from 30 to 120 activities and with 4 resources. The results obtained suggest that the proposed method is extremely competitive as almost all known optima were found and 86 instances were solved to optimality for the first time. Moreover, a number of bounds were improved for those instances that still remain open.
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