Read our guid to find the best vps hosting for your business



A bridge between Probability, Set Oriented Numerics and Evolutionary Computation

Workshop organized by

University of Luxembourg


INRIA Bordeaux Sud-Ouest

May 25-27 (Wednesday-Friday), 2011
Bourglinster Castle, Luxembourg

Partners of the Event

Computer Science and Communications Research Unit, Luxembourg

Interdisciplinary Centre for Security, Reliability and Trust (SnT), Luxembourg

EA Association, France

Association Evolution Artificielle

Ministère de la Culture, de l'Enseignement Supérieur et de la Recherche, Grand Duché de Luxembourg

Call for chapters

Studies in Computational Intelligence, Springer

Authors are invited to submit extended versions of the abstracts, subject to further review to be published in "EVOLVE - A bridge between Probability, Set Oriented Numerics and Evolutionary Computation", in the series Studies in Computational Intelligence, Springer (edited book on the theoretical foundations of evolutionary computation, indexed by DBLP, Ulrichs, SCOPUS, MathSciNet, Current Mathematical Publications, Mathematical Reviews, Zentralblatt Math: MetaPress and Springerlink).

The complete call for chapters is available here.

The massive use and large applicability spectrum of evolutionary algorithms for real-life applications determined the need of establishing solid theoretical grounds. Only to offer a few examples, one may consider mathematical objects th at are sometimes difficult and/or costly to calculate. At the same time, acknowledged new results show that evolutionary computation can provide in some cases good and fast estimators of these quantities. Similarly, the handling of large quantities of data may require the use of distributed environments where the probability of failure and the stability of the algorithms may need to be addressed. What is more, common practice confirms in many cases that theory based results have the advantage of ensuring performance guarantee factors for evolutionary algorithms in areas as diverse as optimization, bio-informatics or robotics.

The aim of the EVOLVE workshop is to build a bridge between probability, statistics, set oriented numerics  and evolutionary computing, as to identify new common and challenging research aspects. The workshop is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. 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 the theoretical advancements may echo in different domains.

Summarizing, this workshop focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees and modeling.



- bridge between probability, statistics and evolutionary algorithms

- performance guarantee factors for large scale / highly multi-modal optimization problems

- performance guarantees measures for existing algorithms

- estimation of complete distribution laws

- Gibbs measures

- set oriented numerics

- robust methods for large scale, high dimensional problems

- theoretical tools, components that ensure the robustness in practice

- theoretical foundations

- mathematical objects and evolutionary programming

- robust / fast estimation of mathematical quantities

- particle methods, Markov Chain Monte Carlo methods

- spatial complexity of methods and its implications in practice

- robustness of parallel and distributed evolutionary optimization

- self-tuning, self-adaptive techniques

- particular issues (e.g. landscape analysis)

- swarm intelligence


Important Dates:

Submission deadline April 5, 2011
Notification of acceptance April 20, 2011
Registration deadline May 13, 2011
Conference dates May 25-27, 2011
free pokerfree poker