Special Issue on Mathematical Optimization and Applications

In mathematics, computer science and operations research, mathematical optimization is the selection of a best element from some set of available alternatives. In the simplest case, an optimization problem consists of maximizing or minimizing a real function by systematically choosing input values from within an allowed set and computing the value of the function. The generalization of optimization theory and techniques to other formulations constitutes a large area of applied mathematics. More generally, optimization includes finding "best available" values of some objective function given a defined domain (or input), including a variety of different types of objective functions and different types of domains.

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

• Multi-objective optimization
• Computational optimization techniques
• Optimization algorithms
• Iterative methods and global convergence
• Feasibility problem
• Global and local optimization
• Maximization, minimization and best solutions
• Operational efficiency and best performance
• Modelling and methods
• Optimal control and optimization
• Applications in economics, engineering and computer science

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 – Mathematical Optimization and Applications” 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

APM Editorial Office

apm@scirp.org