About the Journal

The Journal of Optimization and Decision Science (JODS) is a scientific journal focused on the development and application of optimization models, computational algorithms, and intelligent decision-making methods in computer science and informatics. The journal aims to provide a dedicated platform for researchers, academics, practitioners, and students to disseminate high-quality research addressing complex computational problems through rigorous optimization techniques and data-driven decision-making approaches.

JODS is published by the Kita Tulis Foundation and is published three times a year (January, May, and September).

All submitted articles undergo a double-blind peer-review process and are evaluated based on their scientific contribution, originality, methodological soundness, and relevance to optimization and decision science in computing.

The journal's scope includes (but is not limited to):
Computational Optimization and Algorithm Development
Metaheuristics and Heuristic Algorithms
Decision Support Systems and Intelligent Decision Models
Machine Learning and Artificial Intelligence for Optimization
Resource Allocation and Scheduling in Computing Systems
Optimization in Cloud, Edge, and Distributed Computing
Network Optimization and System Performance Analysis
Data-Driven Decision Making and Predictive Modeling
Simulation and Modeling of Complex Systems
Intelligent and Smart Computing Systems

JODS is committed to being a focused and reputable reference in the field of optimization and decision science, particularly in advancing computational methods and intelligent systems to solve real-world problems at both the national and international levels.