The EVOLVE 2015 International Conference + ECODAM

A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computing

The 2015 edition of the EVOLVE conference is held jointly with ECODAM. EVOLVE - ECODAM brings together researchers, practitioners and students at all levels working in the areas of concern for both events.

EVOLVE 2015

The aim of the EVOLVE international conference is to build a bridge between probability, statistics, set oriented numerics and evolutionary computing, as well as to identify new common and challenging research aspects.

The event is also intended to foster a growing interest for robust and efficient new methods with a sound theoretical background and, last but not least, to unify theory-inspired methods and cutting-edge techniques aimed at reaching top-level performance. By gathering researchers with different backgrounds, ranging from computer science to mathematics, statistics and physics, to name just a few, a unified view and vocabulary can emerge where theoretical and practical advancements may echo in different domains..

The wide use and large applicability spectrum of evolutionary algorithms in real-life applications nurture the need for further developing solid theoretical grounds. Among many examples intricate mathematical objects show, as proven by acknowledged new results that evolutionary algorithms can, in some cases, act as good and fast estimators. Similarly, the handling of large quantities of data may require the use of distributed environments where the probability of failure and the stability of algorithms need to be formally addressed.

Common practice confirms in many cases that theory-based results ensure performance guarantee factors for evolutionary algorithms in areas as diverse as optimization, bio-informatics or robotics. Summarizing, EVOLVE focuses on basic research and application challenges arising in theory, new paradigms and practice, thus aiming to provide a unifying view and to raise questions related to reliability, performance guarantees and modeling. 

Scope & Topics

Monte Carlo Methods, Mean Field Particle Models, Set-Oriented Numerics, and Evolutionary Algorithms cover a variety of application 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, 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, Landscape Theory, Natural Computing, Evolutionary Algorithms, Robust Design, Computational Vision, Estimation of Distribution Algorithms

Applications, System Architectures and Experience Track

Cloud Computing, Social Networking, Software as a Service, Big Data, Web Data Management or Mobile Data Management