A hybrid rank-based evolutionary algorithm applied to multi-mode resource-constrained project scheduling problem |
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| Authors: | Sonda Elloumi Philippe Fortemps |
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| Institution: | 1. Research unit Logistique, Gestion Industrielle et de la Qualité, Institut Supérieur de Gestion Industrielle, Sfax, Tunisia;2. Service de Mathématique et Recherche Opérationnelle, Faculté Polytechnique, Université de Mons, Belgium |
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| Abstract: | We consider the multi-mode resource-constrained project scheduling problem (MRCPSP), where a task has different execution modes characterized by different resource requirements. Due to the nonrenewable resources and the multiple modes, this problem is NP-hard; therefore, we implement an evolutionary algorithm looking for a feasible solution minimizing the makespan. |
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| Keywords: | Project scheduling Resource-constrained Multiple modes Evolutionary algorithms Bi-objective approach Clustering |
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