Special Issue on Operations Research & Optimization

Operations Research & Optimization focuses on the application of mathematical modeling, analytical methods, and computational techniques to support decision-making and improve system efficiency. It involves optimizing resource allocation, scheduling, logistics and complex system design under constraints. The field is widely used in engineering, business, transportation and data science to solve problems involving uncertainty, cost minimization, and performance maximization, enabling better strategic and operational decisions.

In this special issue, we intend to invite front-line researchers and authors to submit original research and review articles on Operations Research & Optimization. Potential topics include, but are not limited to:

• Optimization algorithms
• Linear and nonlinear programming
• Integer and combinatorial optimization
• Stochastic optimization and robust optimization
• Dynamic programming and reinforcement learning
• Network optimization and flow theory
• Queueing theory and stochastic processes
• Supply chain and logistics optimization
• Game theory and decision analysis
• Metaheuristics and evolutionary algorithms
• Multi-objective optimization

Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly notice that the “Special Issue” under your manuscript title is supposed to be specified and the research field “Special Issue – Operations Research & Optimization” should be chosen during your submission.

According to the following timetable:       
                                  

For publishing inquiries, please feel free to contact the Editorial Assistant at [email protected]

AJOR Editorial Office