Aims
Control and Optimization in Applied Mathematics (COAM) invites researchers, scholars, practitioners, and resource persons to contribute their ideas and innovative perspectives. The goal is to expand the current body of knowledge across the following thematic areas.
Scope
The areas of interest encompass, but are not limited to, the following subjects:
Control Theory & Systems
- Control Theory
- Optimal Control
- Robust Control
- Fuzzy Control
- Calculus of Variations
- Stochastic Control Systems
- Control Theory in Medicine
- Distributed Systems
- Hybrid Systems
- Adaptive Control
- Non-Linear Control
- Stability Analysis
- Fractional Systems
- Expert Systems
Optimization & Operations Research
- Optimization
- Operations Research
- Optimization Algorithms
- Data Envelopment Analysis (DEA)
- Transportation and Traffic Optimization
- Mathematical Modelling
- Linear and Non-Linear Programming
- Management and Optimization
- Project Planning and Control
- Optimization in Mathematical Education
Machine Learning & Data Science in Optimization
- Deep Learning
- Data Mining
- Artificial Neural Networks
- Machine Learning
- Metaheuristic Algorithms
- Reinforcement Learning Algorithms
Mathematics & Theoretical Foundations
- Analysis and Its Applications in Optimization
- Mathematical Programming
- Mathematical Finance
- Numerical Methods
- Graph Theory and Its Applications
- Non-Smooth Analysis and Its Application in Optimization
Applied & Interdisciplinary Topics
- Simulation
- Scheduling
- Quantum Optimization
- Supply Chain and Logistics Optimization
- Operational Scheduling
- Financial and Economic Optimization
- Portfolio Optimization
- Healthcare and Medical Optimization
- Optimization of Internet of Things (IoT)
And related topics.