Special Issue on Operations Research & Optimization

Optimization is concerned with the analysis and algorithmic aspects of maximizing or minimizing an objective function subject to constraints, often in complex problems in high dimension. Operations research is a problem solving and decision taking technique. It is considered a kit of scientific and programmable rules which provides the management a “quantitative basis” for decisions concerning the operation under its control.

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
• Optimization models
• Optimization techniques
• Linear and nonlinear optimization
• Convex optimization
• Bayesian optimization
• Combinatorial optimization
• Estimation and optimization
• Global optimization
• Stochastic optimization
• Integer programming
• Simulation optimization
• Integrated methods for optimization
• Numerical optimization techniques
• Optimization in large scale problems
• Optimization in logistics
• System planning and optimization
• Optimization methods in management science
• Queuing theory and revenue management
• Facility location and vehicle routing
• Supply risk analysis
• Decision support

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 submission.entrance1@scirp.org

AJOR Editorial Office

ajor@scirp.org