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Authors: Alireza Etminaniesfahani ; Hanyu Gu and Amir Salehipour

Affiliation: School of Mathematical and Physical Sciences, University of Technology Sydney, Australia

Keyword(s): Relax-and-Solve, Project Scheduling, Resource-Constrained Project Scheduling Problem, RCPSP, Makespan, Matheuristic.

Abstract: The resource-constrained project scheduling problem (RCPSP) has a broad range of practical applications, e.g., in manufacturing, mining, and supply chain, among others(Kreter et al., 2015). Over the last 50 years, many researchers have tried to solve this challenging NP-hard problem. This paper presents an efficient and easy-to-implement relax-and-solve matheuristic to solve RCPSP. The proposed method employs constraint programming in a heuristic framework and uses CPLEX as an optimization solver. This algorithm is tested on more than 1500 instances from the standard library PSPLIB. Our experimental results show that the proposed heuristic framework outperforms the CPLEX and provides competitive results compared with the state-of-the-art techniques.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Etminaniesfahani, A.; Gu, H. and Salehipour, A. (2022). An Efficient Relax-and-Solve Algorithm for the Resource-Constrained Project Scheduling Problem. In Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-548-7; ISSN 2184-4372, SciTePress, pages 271-277. DOI: 10.5220/0010772400003117

@conference{icores22,
author={Alireza Etminaniesfahani. and Hanyu Gu. and Amir Salehipour.},
title={An Efficient Relax-and-Solve Algorithm for the Resource-Constrained Project Scheduling Problem},
booktitle={Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - ICORES},
year={2022},
pages={271-277},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010772400003117},
isbn={978-989-758-548-7},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - ICORES
TI - An Efficient Relax-and-Solve Algorithm for the Resource-Constrained Project Scheduling Problem
SN - 978-989-758-548-7
IS - 2184-4372
AU - Etminaniesfahani, A.
AU - Gu, H.
AU - Salehipour, A.
PY - 2022
SP - 271
EP - 277
DO - 10.5220/0010772400003117
PB - SciTePress