A genetic algorithm with resource buffers for the resource-constrained multi-project scheduling problem

DOI10.1016/j.ejor.2023.11.009MaRDI QIDQ6554595

Mario Vanhoucke, Dries Bredael

Publication date: 13 June 2024

Published in: European Journal of Operational Research (Search for Journal in Brave)

zbMATH Keywords

project schedulingmetaheuristicsgenetic algorithmsmulti-project

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Cites Work

• Two-phase heuristics for scheduling of multiple projects
• Scheduling subject to resource constraints: Classification and complexity
• An iterative scheduling technique for resource-constrained project scheduling
• A learning-based optimization approach to multi-project scheduling
• A genetic algorithm for the resource constrained multi-project scheduling problem
• A hybrid scatter search/electromagnetism meta-heuristic for project scheduling
• A multi‐agent system for the decentralized resource‐constrained multi‐project scheduling problem
• Multi-project scheduling: a benchmark analysis of metaheuristic algorithms on various optimisation criteria and due dates

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