Abstract
We consider the Resource-Constrained Project Scheduling Problem (RCPSP) with respect to the makespan minimization criterion. The problem accounts for technological constraints of activities precedence together with resource constraints. No activity preemption is allowed. We consider relaxation of RCPSP with special types of non-renewable resources to get a lower bound of the problem. We present new lower bound algorithm for the RCPSP with time complexity depending on the number of activities n as \(O(n\log n)\), and we test it on PSPLIB instances. Numerical experiments demonstrate that the proposed algorithm produces on some series of instances lower bounds very close to the best existing lower bounds published in the PSPLIB, while their calculation time is a fraction of a second. We get especially good marks for large-sized instances.
Supported by the program of fundamental scientific researches of the SB RAS No. I.5.1., project No. 0314-2019-0014, and by the Russian Foundation for Basic Research, project No. 20-31-90091.
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Gimadi, E.K., Goncharov, E.N., Shtepa, A.A. (2021). Lower Bound Polynomial Fast Procedure for the Resource-Constrained Project Scheduling Problem Tested on PSPLIB Instances. In: van der Aalst, W.M.P., et al. Analysis of Images, Social Networks and Texts. AIST 2020. Lecture Notes in Computer Science(), vol 12602. Springer, Cham. https://doi.org/10.1007/978-3-030-72610-2_31
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