[ecoop-info] [EVOLVE 2012] Deadline extension for the EVOLVE 2012 International Conference

Jianguo Ding Jianguo.Ding at uni.lu
Mon Mar 12 18:15:00 CET 2012

Apologies for crosspostings.

                                                   EVOLVE 2012
      EVOLVE -- A Bridge Between Probability, Set Oriented Numerics
                                    and Evolutionary Computation

                         August 07-09, 2012, Mexico City, Mexico


Extension of the deadline.

Due to the addition of specific sessions and given the multiple extension
requests, the deadline has been extended to March 22, 2012.

Authors are invited to submit full-length papers that will undergo peer
review. The EVOLVE 2012 proceedings will be published in the Advances
in Intelligent and Soft Computing book series by Springer. Authors of the
best papers/abstracts presented at the EVOLVE 2012 will be encouraged
to submit a substantially extended version of their work for the
post-proceedings which will appear in the Studies in Computational
Intelligence book series of Springer.

Special Sessions (list to be completed)

The following special sessions will be held at the EVOLVE 2012. Detailed
information can be found at


Session 1:  Real-world Application of Bio-inspired Metaheuristics
Chairs:        Andrew Lewis and Marcus Randall.

Session 2:  Evolutionary Multi-objective Optimization
Chairs:        Guenter Rudolph and Heike Trautmann

Session 3: Probabilistic Modeling and Optimization for Emerging Networks
Chair:         Jianguo Ding and Xinhui Wang

Session 4: Dynamic Optimization
Chairs:       Emilia Tantar, Alexandru-Adrian Tantar, and Peter Bosman

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

Summarizing, the EVOLVE 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

 - Theoretical foundations of evolutionary type algorithms
 - Models in biology: branching processes, dynamic population models.
 - Stochastic algorithms: simulated annealing, particle models, and
     Markov chain Monte Carlo methods, adaptive Monte Carlo, quantum Monte
     Carlo methods, MCMC methods, particle methods
- Risk analysis: rare events simulation, sensitivity measures
- Applications: bayesian statistics, large networks analysis, models in
    fluid mechanics, financial mathematics, molecular chemistry,
    bacteriology, epidemiology
- Set oriented numerics
- Stochastic optimization:
  - landscape analysis
  - self-tuning and self-adaptive techniques
  - single-, multi- and many-objective optimization
  - large scale, highly multi-modal or high-dimensional problems
  - bio-inspired models : evolutionary programming, swarm intelligence

Invited Speakers

Vo Ba-Ngu, University of Melbourne, Australia

Jose Blanchet, Columbia University, New York, USA

Bernard Cazelles, Ecole Normale Supérieure, Paris, France

Carlos A. Coello Coello, CINVESTAV-IPN, Mexico City, Mexico

Pedro Larrañaga, Technical University of Madrid, Spain

Tony Lelievre, Ecole des Ponts ParisTech, France

Sylvie Méléard, Ecole Polytechnique, Palaiseau, France

Eric Moulines, Institut Télécom / Télécom ParisTech (ENST), Paris, France

Jian-Qiao Sun, University of California, Merced, USA

Conference Chairs

Oliver Schuetze, CINVESTAV-IPN, Mexico
Alexandru-Adrian, University of Luxembourg, Luxembourg
Emilia Tantar, University of Luxembourg, Luxembourg
Pascal Bouvry, University of Luxembourg, Luxembourg
Pierre del Moral, INRIA Bordeaux-Sud Ouest, France
Pierrick Legrand, University of Bordeaux 2, France


The EVOLVE 2012 will accept both full-length papers and extended abstracts
to be
presented at the conference. Full length papers will be published in the
Advances in
Intelligent and Soft Computing book series of Springer. Extended abstracts
will be
published on CD-ROM (provided with ISSN and ISBN).

The postproceedings will include extended versions of the best
presented at the EVOLVE 12 and will appear in the Studies in Computational
Intelligence book series of Springer.

Imortand Dates

March 22, 2012  Submission of full-length manuscripts
April 09, 2012  Notification of authors (full length manuscripts)
May 04, 2012    Camera ready papers due
May 04, 2012    Submission of abstracts
May 25, 2012    Notification of authors (abstracts)
August 07-09, 2012 Conference dates

Conference Location

The EVOLVE 2012 will be hosted by the Computer Science Department of the
CINVESTAV-IPN which is located in the campus Zacatenco in Mexico City,

Further Information

Details and up-to-date information can be found on the webpage of the event:
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