2026 International Conference on Decision, Management, and Learning Systems (DMLS 2026) provides a premier forum for the presentation of new advances and research results in the fields of Decision, Management, and Learning Systems. The conference will bring together leading researchers, social workers and scientists in the domain of interest from around the world.
The topics of interest for submission include, but are not limited to:
Track 1: Decision and Optimization Systems
- Decision support systems and architectures
- Multi-criteria decision making (MCDM) models
- Optimization algorithms for decision systems
- Intelligent decision-making under uncertainty
- Game theory and decision analysis
- Risk assessment and decision modeling
- Data-driven decision algorithms
- Distributed and decentralized decision systems
- Real-time decision-making systems
- Decision modeling and simulation techniques
Track 2: Intelligent Management and Computational Analytics
- Intelligent management information systems
- Data analytics for management decision-making
- Computational management and operations research
- Business intelligence and analytical systems
- Process modeling and management optimization
- Digital transformation and intelligent enterprises
- Knowledge management systems and platforms
- Resource allocation and scheduling algorithms
- Performance evaluation and management modeling
- Decision analytics in organizational systems
Track 3: Learning Systems and Intelligent Computing
- Intelligent learning systems and platforms
- Machine learning methods for decision systems
- Reinforcement learning and adaptive decision models
- Learning-based optimization algorithms
- Knowledge representation and learning models
- Data mining and pattern recognition
- Learning analytics and system modeling
- Human-in-the-loop learning systems
- Intelligent recommendation and prediction systems
- Learning systems for complex decision environments