A metaheuristic solution approach for the time-constrained project scheduling problem

Cédric Verbeeck (), Vincent Peteghem, Mario Vanhoucke, Pieter Vansteenwegen and El-Houssaine Aghezzaf
Additional contact information
Cédric Verbeeck: Ghent University
Vincent Peteghem: EDHEC Business School
Pieter Vansteenwegen: KU Leuven, Leuven Mobility Research Center
El-Houssaine Aghezzaf: Ghent University

OR Spectrum: Quantitative Approaches in Management, 2017, vol. 39, issue 2, No 1, 353-371

Abstract: Abstract In this paper, a metaheuristic solution procedure for the Time-Constrained Project Scheduling Problem is proposed, in which additional resources can be temporarily allocated to meet a given deadline. The problem consists of determining a schedule such that the project is completed on time and that the total additional cost for the resources is minimized. For this problem, an artificial immune system is proposed, in which each solution is represented by a vector of activity start times. A local search procedure, which tries to shift cost causing activities, is applied to each population schedule. Computational experiments are applied to modified resource-constrained project scheduling problem benchmark instances and reveal promising results.

Keywords: Metaheuristics; Project scheduling; Time-constrained (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s00291-016-0458-7

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