A matheuristic for the resource-constrained project scheduling problem

Mario Vanhoucke and José Coelho

European Journal of Operational Research, 2024, vol. 319, issue 3, 711-725

Abstract: This paper presents a matheuristic solution algorithm to solve the well-known resource-constrained project scheduling problem (RCPSP). The problem makes use of a restricted neighbourhood method using an activity selection and a search space restriction module and implements them as two alternative search algorithms. The first algorithm makes use of the best-performing components of the branch-and-bound procedures from the literature, and embeds them into a greedy neighbourhood search. The second matheuristic implements the exact branch-and-bound procedures into a known and well-performing meta-heuristic search algorithm.

Keywords: Project scheduling; Matheuristic; Branch-and-bound; Project network indicator; Neighbourhood search (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:319:y:2024:i:3:p:711-725

DOI: 10.1016/j.ejor.2024.07.016

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