Aims and Scope

The International Journal of Operations Research and Artificial Intelligence (IJORAI) is a peer-reviewed, open-access journal that aims to advance the integration of operations research (OR) methodologies and artificial intelligence (AI) techniques in solving complex decision-making problems across a wide range of disciplines.

The journal provides a platform for academic researchers, industry professionals, and policy-makers to publish original research, review articles, case studies, and practical applications that bridge the gap between theory and practice in OR and AI. IJORAI encourages interdisciplinary contributions that explore how AI techniques such as machine learning, deep learning, natural language processing, evolutionary computation, and expert systems can enhance traditional and modern approaches to operations research, including optimization, simulation, stochastic modeling, and decision analysis.

Topics of interest include but are not limited to:

* Optimization techniques integrated with AI algorithms
* Machine learning applications in logistics, supply chain, and production
* Simulation and modeling enhanced by intelligent systems
* Multi-criteria and decision-support systems
* Reinforcement learning in operational environments
* AI for scheduling, routing, and resource allocation
* Predictive analytics and data-driven decision-making
* Hybrid systems combining OR and AI approaches
* Intelligent systems for risk analysis and management
* Applications of OR and AI in healthcare, energy, transportation, finance, and smart cities

IJORAI welcomes contributions that are theoretical, computational, or applied in nature and particularly values innovative research that demonstrates measurable improvements in real-world systems and decision-making processes.