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Variable Neighborhood Search for the Resource Constrained Project Scheduling Problem Full article

Conference 18th International conference on mathematical optimization theory and operations research
08-12 Jul 2019 , Екатеринбург
Journal Communications in Computer and Information Science
ISSN: 1865-0929
Output data Year: 2019, Volume: 1090, Pages: 39-50 Pages count : 12 DOI: 10.1007/978-3-030-33394-2_4
Tags Project management, resource-constrained project scheduling problem, renewable resources, variable neighborhood search.
Authors Goncharov Evgenii N. 1,2
Affiliations
1 Sobolev Institute of Mathematics
2 Novosibirsk State University

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. Activities preemptions are not allowed. The problem with renewable resources is NP-hard in the strong sense. We propose a variable neighborhood search algorithm with two neighborhoods. Numerical experiments based on standard RCPSP test dataset j120 from the PCPLIB library demonstrated that the proposed algorithm produces better results than existing algorithms in the literature for large-sized instances. For some instances from the dataset j120 the best known heuristic solutions were improved.
Cite: Goncharov E.N.
Variable Neighborhood Search for the Resource Constrained Project Scheduling Problem
Communications in Computer and Information Science. 2019. V.1090. P.39-50. DOI: 10.1007/978-3-030-33394-2_4 Scopus OpenAlex
Dates:
Published online: Oct 27, 2019
Identifiers:
Scopus: 2-s2.0-85076184267
OpenAlex: W2982596000
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