An efficient genetic algorithm to solve the resource-constrained project scheduling problem with transfer times: The single mode case

Roubila Lilia Kadri and Fayez F. Boctor

European Journal of Operational Research, 2018, vol. 265, issue 2, 454-462

Abstract: In this article, we address the resource-constrained project scheduling problem with transfer times (RCPSPTT). We assume that pre-emption is not allowed, and precedence relations are zero-lag finish-to-start relations. We also assume that the durations and resource transfer times of activities are known and deterministic. The objective is to choose a start time for each activity of the project so that the project duration is minimized, while satisfying precedence relations, resource availabilities, and resource-transfer time constraints. We propose a new genetic algorithm using a two-point crossover operator. The experiment, conducted on a large number of instances, shows that the proposed algorithm performs better than several solution methods previously published.

Keywords: Project scheduling; Resource transfer time; Genetic algorithms (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:265:y:2018:i:2:p:454-462

DOI: 10.1016/j.ejor.2017.07.027

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