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Call for Chapters - EVOLVE

A bridge between Probability, Set Oriented Numerics and
Evolutionary Computation

Studies in Computational Intelligence, Springer

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 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 this book is to build a bridge between probabilities, statistics, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects. The book is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. The book is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors.

Summarizing, this book 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.

Important Dates:

Proposal submission: August 1, 2011
Full chapter submission: October 15, 2011 November 1, 2011
Notification of acceptance: December 15, 2011 January 15, 2011
Final version submission: February 15, 2012
Expected publication: Middle of 2012

Instructions for Authors and Submission:

Latex and Word style files for the submission along with instructions for authors are available online on Springer’s site at http://www.springer.com/series/7092. Proposals have to be sent in PDF format before the 1st of August to This e-mail address is being protected from spambots. You need JavaScript enabled to view it . All submitted chapters will be peer-reviewed. The final chapter should not exceed 30 pages and has to include the source file as well as all other accompanying resources, e.g. figures, illustrations, logos, charts, etc.

Topics:

- 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

 

Editors:

Emilia Tantar

University of Luxembourg

Computer Science and Communications

Faculty of Sciences, Technology and Communication

6 rue Richard Coudenhove-Kalergi

L-1359 Luxembourg

This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Tel (+352) 4666445786

Alexandru-Adrian Tantar

University of Luxembourg

Computer Science and Communications

Faculty of Sciences, Technology and Communication

6 rue Richard Coudenhove-Kalergi

L-1359 Luxembourg

This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Tel (+352) 4666445789

Pascal Bouvry

University of Luxembourg

Computer Science and Communications

Faculty of Sciences, Technology and Communication

6 rue Richard Coudenhove-Kalergi

L-1359 Luxembourg

This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Tel (+352) 4666445782

Pierre Del Moral

INRIA Bordeaux-Sud Ouest

Université Bordeaux I

351, cours de la Libération

33405 Talence cedex, France

This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Tel (+33) 524574154

Pierrick Legrand

UFR Sciences et Modélisation

Université Bordeaux II

Bâtiment Leyteire, 3ter place de la Victoire

33000 Bordeaux, France

This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Tel (+33) 557573114

Carlos A. Coello Coello

CINVESTAV-IPN

Computer Science Department

Av. IPN 2508, Col. San Pedro Zacatenco

07360 Mexico City, Mexico

This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Tel (+52) 5557473800 ext. 6564

Oliver Schütze

CINVESTAV-IPN

Computer Science Department

Av. IPN 2508, Col. San Pedro Zacatenco

07360 Mexico City, Mexico

This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Tel (+52) 5557473800 ext. 6562

 
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