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JOURNALS // Journal of Siberian Federal University. Mathematics & Physics // Archive

J. Sib. Fed. Univ. Math. Phys., 2023 Volume 16, Issue 5, Pages 639–650 (Mi jsfu1111)

Two heuristic algorithms for RCPSP with NPV criterion

Aleksandr M. Bulavchuk, Daria V. Semenova

Siberian Federal University, Krasnoyarsk, Russian Federation

Abstract: The resource constrained project scheduling problem (RCPSP) with the criterion of maximizing the net present value (NPV) is considered. We propose two heuristic algorithms for RCPSP based on idempotent algebra methods. To assess the quality of the algorithms, a zero-one integer linear programming model was built for the problem under consideration. This model makes it possible to find exact solutions to the problem using the IBM ILOG CPLEX. Experiments show that the proposed heuristic algorithms demonstrate high performance. In a series of experiments, schedules corresponding to exact solutions were obtained, among other things.

Keywords: scheduling problem, investment project, NPV, idempotent mathematics, genetic algorithm, simulated annealing.

UDC: 519.8

Received: 09.06.2023
Received in revised form: 20.07.2023
Accepted: 16.08.2023

Language: English



© Steklov Math. Inst. of RAS, 2024