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Journal of Siberian Federal University. Mathematics & Physics, 2023, Volume 16, Issue 5, Pages 639–650
(Mi jsfu1111)
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This article is cited in 1 scientific paper (total in 1 paper)
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.
Received: 09.06.2023 Received in revised form: 20.07.2023 Accepted: 16.08.2023
Citation:
Aleksandr M. Bulavchuk, Daria V. Semenova, “Two heuristic algorithms for RCPSP with NPV criterion”, J. Sib. Fed. Univ. Math. Phys., 16:5 (2023), 639–650
Linking options:
https://www.mathnet.ru/eng/jsfu1111 https://www.mathnet.ru/eng/jsfu/v16/i5/p639
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