*Topics of Interest.*

Topics related to Operations research, learning and intelligent optimization, including but not limited to:

- Machine learning
- Operations research
- OR for ML and AI
- ML and AI for OR
- Deep learning
- Evolutionary algorithms
- Swarm intelligence
- Reinforcement learning
- Optimization techniques
- Data mining and analytics
- Data science and big data
- Quantum machine learning
- Quantum optimization
- Parallel methods for Optimization, OR, ML and AI
- Large-scale problems
- Robust optimization and its applications
- Applications of these topics in robotics, economics, energy,
environmental sciences, healthcare, management, and other real-world areas.
- We encourage submissions of surveys and future-oriented papers.

All accepted papers will be published by Springer-Verlag in Lecture Notes in Computer Science (http://www.springer.com/lncs) (LNCS). We will propose a special issues of well-ranked journals.