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This study addresses a robust multi-project scheduling problem under a resource dedication-transfer policy, focusing on the allocation of limited resources to ensure project success amidst uncertainties like varying activity durations. A hierarchical multi-objective optimization model is proposed to minimize total weighted tardiness, fluctuating resource costs, and maximize robustness, using adjusted large neighborhood search (ALNS) and NSGA-II algorithms for solution methodologies. Experimental results ind

Author

canadzchatgpt

Language

EN