Call for Chapters - EVOLVE
A bridge between Probability, Set Oriented Numerics and Evolutionary Computation
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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).
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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.
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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
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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
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. 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.
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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
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Editors:
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Emilia Tantar
University of Luxembourg
Computer Science and Communications
Faculty of Sciences, Technology and Communication
6 rue Richard Coudenhove-Kalergi
L-1359 Luxembourg
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Tel (+352) 4666445786
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Alexandru-Adrian Tantar
University of Luxembourg
Computer Science and Communications
Faculty of Sciences, Technology and Communication
6 rue Richard Coudenhove-Kalergi
L-1359 Luxembourg
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Tel (+352) 4666445789
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Pascal Bouvry
University of Luxembourg
Computer Science and Communications
Faculty of Sciences, Technology and Communication
6 rue Richard Coudenhove-Kalergi
L-1359 Luxembourg
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Tel (+352) 4666445782
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Pierre Del Moral
INRIA Bordeaux-Sud Ouest
Université Bordeaux I
351, cours de la Libération
33405 Talence cedex, France
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Tel (+33) 524574154
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Pierrick Legrand
UFR Sciences et Modélisation
Université Bordeaux II
Bâtiment Leyteire, 3ter place de la Victoire
33000 Bordeaux, France
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Tel (+33) 557573114
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Carlos A. Coello Coello
CINVESTAV-IPN
Computer Science Department
Av. IPN 2508, Col. San Pedro Zacatenco
07360 Mexico City, Mexico
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Tel (+52) 5557473800 ext. 6564
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Oliver Schütze
CINVESTAV-IPN
Computer Science Department
Av. IPN 2508, Col. San Pedro Zacatenco
07360 Mexico City, Mexico
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Tel (+52) 5557473800 ext. 6562
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