
International Journal of Operations Research and Artificial Intelligence
The International Journal of Operations Research and Artificial Intelligence (IJORAI) is a peer-reviewed journal dedicated to the integration of operations research, decision-making methodologies, and artificial intelligence. It aims to provide a platform for academic researchers, practitioners, and policymakers to present innovative research that addresses complex problems through advanced modeling and intelligent optimization techniques. IJORAI publishes original studies that blend traditional optimization methods with modern AI algorithms in both theoretical and applied contexts.
Aims & 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.
Editor-in-Chief
Mohammad Reza Mozaffari
Department of Mathematics, Shiraz Branch, Islamic Azad University, Shiraz, Iran.
Editorial Contact
ijorai@reapress.com
ISSN
pending