Aim and Scope
The Journal of Intelligent Systems, Optimization and Data Analytics (JISODA) aims to publish high-quality, original research and review articles that advance the theory, methodologies, and applications of intelligent systems, optimization techniques, and data-driven analytics. The journal serves as an interdisciplinary platform for researchers, practitioners, and industry experts working at the intersection of artificial intelligence, computational intelligence, and decision sciences.
The scope of the journal includes, but is not limited to:
- Intelligent Systems and Artificial Intelligence
- Machine learning, deep learning, and reinforcement learning
- Expert systems, fuzzy logic, and knowledge-based systems
- Natural language processing and computer vision
- Autonomous and adaptive systems
- Optimization Techniques and Algorithms
- Mathematical optimization (linear, nonlinear, stochastic, and dynamic optimization)
- Metaheuristic and evolutionary algorithms (GA, PSO, ACO, etc.)
- Multi-objective and combinatorial optimization
- Optimization under uncertainty and robust optimization
- Data Analytics and Data Science
- Big data analytics and data mining
- Predictive, prescriptive, and descriptive analytics
- Statistical modeling and inference
- Time-series analysis and forecasting
- Hybrid Intelligent and Optimization Approaches
- AI-driven optimization and data-informed decision-making
- Integration of machine learning with optimization techniques
- Intelligent decision support systems
- Applications and Interdisciplinary Studies
- Smart cities, transportation, and energy systems
- Healthcare analytics and biomedical systems
- Financial engineering and risk analysis
- Industrial engineering, supply chain, and logistics optimization
- Cyber-physical systems and Internet of Things (IoT)
- Emerging Trends and Technologies
- Explainable AI (XAI) and trustworthy systems
- Edge computing and distributed intelligence
- Digital twins and intelligent automation
- Sustainable and green optimization techniques
The journal welcomes theoretical developments, methodological innovations, computational frameworks, and real-world applications. Submissions should demonstrate novelty, technical rigor, and clear contributions to the advancement of intelligent systems, optimization, and data analytics.
