Flex Conference (Physical / Digital)

International Conference on Mathematical Methods in Optimization and Control - (ICMMOC-27)

28th - 29th June 2027 , Formosa - Argentina

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Call For Papers

The (ICMMOC-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Mathematics are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Optimization algorithms for complex systems
  • Control theory applications in engineering
  • Mathematical modeling of dynamic systems
  • Stochastic optimization methods and applications
  • Game theory and optimization strategies
  • Numerical methods for optimization problems
  • Multi-objective optimization techniques
  • Optimal control in uncertain environments
  • Applications of optimization in finance
  • Robust optimization in engineering design
  • Data-driven optimization approaches
  • Nonlinear optimization techniques and challenges
  • Mathematical programming in real-world scenarios
  • Applications of control theory in robotics
  • Hybrid optimization methods for large-scale problems
  • Optimization in machine learning frameworks
  • Heuristic methods for optimization problems
  • Dynamic programming and its applications
  • Optimization in network design and analysis
  • Recent advancements in control systems

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.