Optimization Algorithms for Operations Research and Scheduling Problems

Dear Colleagues,

The increasing complexity of operations research and scheduling problems in various industries requires advanced optimization algorithms to enhance efficiency, reduce costs, and improve decision-making. This Special Issue aims to explore the latest advancements in optimization algorithms applied to operations research and scheduling, focusing on transportation, logistics, supply chain management, manufacturing, healthcare, and energy systems, amongst possible others.

We welcome high-quality original research and review articles that contribute to the theoretical and practical aspects of optimization algorithms for operations research and scheduling problems. Topics of interest include, but are not limited to, the following:

• Novel mathematical programming models for scheduling and resource allocation;
• Combinatorial optimization techniques for production planning and logistics;
• Metaheuristic and hybrid optimization approaches in large-scale scheduling problems;
• Stochastic and robust optimization in uncertain environments;
• Artificial intelligence and machine learning applications in scheduling;
• Multi-objective and multi-criteria decision-making models;
• Advances in vehicle routing, workforce scheduling, and project management;
• Sustainable and green logistics optimization;
• Real-world case studies and industrial applications of optimization algorithms.

We encourage submissions that introduce innovative methodologies, theoretical advancements, and real-world applications. We look forward to receiving your contributions to this Special Issue.

Prof. Dr. Kin Keung Lai
Prof. Dr. Lean Yu
Prof. Dr. Jian Chai
Prof. Dr. Kanchana Sethanan
Guest Editors

Manuscript Submission Information

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