A genetic algorithm-based method for solving multi-mode resource-constrained project scheduling problem in uncertain environment

Mohammad Khalilzadeh, Seyyed Hajir Hosseini, Reza Ghaeli

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

2 Citas (Scopus)

Resumen

Project scheduling models with resource constraints and multi-mode activities aims to create a schedule for carrying out activities considering precedence constraints and available resources in order to minimize the project duration. In the real world, we face uncertainty related to projects, where there are no historical data, hence, we should rely on the experts' judgements to estimate activity durations. For this purpose, in this paper, the 99-simulation method is used to deal with uncertainty. The exact mathematical programming model is presented in this paper and the hybrid algorithm based on Genetic Algorithm is used to solve this type of project scheduling problem which finds the near-optimal solution in a short computational time. Finally, the effectiveness of the proposed model is examined with a numerical example.

Idioma originalInglés
Páginas (desde-hasta)79-86
Número de páginas8
PublicaciónJournal of Project Management (Canada)
Volumen5
N.º2
DOI
EstadoPublicada - 2020
Publicado de forma externa

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