Monte Carlo Methods, Mean Field Particle Models, Set-Oriented Numerics, and Evolutionary Algorithms arise in a variety of fields, and it is the aim of the conference to bring people from these areas together to discuss new results and trends and promote collaboration across these disciplines.

Among other aspects and while not restricted to the following, topics include:

Probability and Statistics 

Monte Carlo Methods, Markov Chain Monte Carlo Methods, Sequential Monte Carlo Methods, Mean Field Particle Models, Branching and Interacting Particle Processes, Nonlinear Markov Processes, Self Interacting Processes, Reinforcement Models, Game Theory, Stochastic Control Theory

Statistics and Machine Learning

Bayesian Inference, Hidden Markov Chain Models, Statistical Machine Learning Techniques. Calibration and Uncertainty Propagations in Numerical Codes, Nonlinear Filtering, Multiple Object Tracking Models.

Set Oriented Numerics and Natural Computing 

Set-Oriented Numerics, Multicriteria Optimization, Level Set Algorithms, Genetic Algorithms, Landscape Theory, Natural Computing, Evolutionary Algorithms, Robust Design, Computational Vision, Estimation of Distribution Algorithms

Applications, System Architectures and Experience Track

The Applications, System Architectures and Experience Track covers innovative applications, commercial management systems and architectures that solves real-world problems. Topics of interest include, but are not limited to: Cloud Computing, Social Networking, Software as a Service, Big Data, Web Data Management or Mobile Data Management