An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
An International Journal of Optimization and Control: Theories & Applications (IJOCTA) is a scientific, peer-reviewed, open-access journal that publishes original research papers and review articles of high scientific value across all fields of applied mathematics, optimization, and control. It aims to focus on multidisciplinary/interdisciplinary research to develop and analyze new numerical solution methods for practical applications in engineering and applied sciences. The fundamental areas of this journal cover mathematical modeling, computational methods, and (meta)heuristic algorithms in optimization, as well as control theory and its applications. It should be noted that new methods addressing recent optimization problems in operations research must undergo comprehensive computational studies and/or case studies to demonstrate their applicability and practical relevance.
Aims & Scope
An International Journal of Optimization and Control: Theories & Applications (IJOCTA) is a scientific, peer-reviewed, open-access journal that publishes original research papers and review articles of high scientific value across all fields of applied mathematics, optimization, and control. It aims to focus on multidisciplinary or interdisciplinary research to develop and analyze new numerical solution methods for practical applications in engineering and applied sciences. The fundamental areas of this journal cover mathematical modeling, computational methods, and (meta)heuristic algorithms in optimization, as well as control theory and its applications. It should be noted that new methods addressing recent optimization problems in operations research must undergo comprehensive computational studies and case studies to demonstrate their applicability and practical relevance.
Aims
To provide a high-quality platform for researchers, scholars, and practitioners worldwide to publish original research papers and review articles of significant scientific value in applied mathematics, optimization, and control.
To promote multidisciplinary and interdisciplinary research that advances and analyzes novel numerical solution methods for practical engineering and applied science problems.
To bridge the gap between theoretical developments in mathematical modeling, computational methods, heuristic algorithms, and control theory, and their real-world applications.
To encourage rigorous, comprehensive computational and case studies that validate new methods for addressing emerging optimization problems in operations research, demonstrating their practical applicability and relevance.
Scope
The journal covers a wide range of topics related to applied mathematics, optimization, and control, with a focus on multidisciplinary and interdisciplinary research for practical engineering and applied science applications, including but not limited to:
Optimization
- Mathematical modeling of optimization problems
- Novel computational methods and numerical solution techniques for optimization
- Linear, nonlinear, convex, and stochastic optimization
- Multi-objective and robust optimization
- Data-driven optimization and machine learning applications in optimization
Control Theory & Applications
- Classical and modern control theory
- Stochastic control and distributed control systems
- Control applications in engineering
- Control of complex and networked systems
- Real-time control and embedded control systems