Editors:
- Builds a bridge between probability, statistics, set oriented
- Numerics and evolutionary computing
- Fosters a growing interest for robust and efficient methods with a sound theoretical background
- Unifies theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors
Part of the book series: Studies in Computational Intelligence (SCI, volume 447)
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Table of contents (12 chapters)
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Front Matter
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Foundations, Probability and Evolutionary Computation
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Front Matter
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Landscape, Coevolution and Cooperation
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Front Matter
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Multi-objective Optimization, Heuristic Conversion Algorithms
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Front Matter
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About this book
The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation.
The volume encloses a collection of contributions that were presented at the EVOLVE 2011 international workshop, held in Luxembourg, May 25-27, 2011, coming from invited speakers and also from selected regular submissions. The aim of EVOLVE is to unify the perspectives offered by probability, set oriented numerics and evolutionary computation. EVOLVE focuses on challenging aspects that arise at the passage from theory to new paradigms and practice, elaborating on the foundations of evolutionary algorithms and theory-inspired methods merged with cutting-edge techniques that ensure performance guarantee factors. EVOLVE is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background.
The chapters enclose challenging theoretical findings, concrete optimization problems as well as new perspectives. By gathering contributions from researchers with different backgrounds, the book is expected to set the basis for a unified view and vocabulary where theoretical advancements may echo in different domains.
Reviews
From the book reviews:
“The book collects 12 papers and presents those in chapter form. All papers are thoroughly refereed. … The papers are well structured and consistent in style and presentation. … this book has an impressive collection of research papers on useful and interesting transdisciplinary topics. I can safely conclude that researchers looking to learn more in this area of research could benefit from this book.” (S. E. Ahmed, Technometrics, Vol. 56 (1), February, 2014)
Editors and Affiliations
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Computer Science and Communications, Research Unit, University of Luxembourg, Luxembourg, Luxembourg
Emilia Tantar
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, Computer Science and Communications, University of Luxembourg, Luxembourg, Luxembourg
Alexandru-Adrian Tantar
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Computer Science, and Communications, University of Luxembourg, Luxembourg, Luxembourg
Pascal Bouvry
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Bordeaux Mathematical Institute, INRIA Bordeaux-Sud Ouest, Université Bordeaux I, Talence Cedex, France
Pierre Del Moral
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Bâtiment Leyteire, UFR Sciences et Modélisation, Université Bordeaux II, Bordeaux, France
Pierrick Legrand
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, Computer Science Department, CINVESTAV-IPN, Mexico City, Mexico
Carlos A. Coello Coello, Oliver Schütze
Bibliographic Information
Book Title: EVOLVE- A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation
Editors: Emilia Tantar, Alexandru-Adrian Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand, Carlos A. Coello Coello, Oliver Schütze
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-32726-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Berlin Heidelberg 2013
Hardcover ISBN: 978-3-642-32725-4Published: 11 September 2012
Softcover ISBN: 978-3-642-44503-3Published: 15 October 2014
eBook ISBN: 978-3-642-32726-1Published: 14 September 2012
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXII, 414
Topics: Computational Intelligence, Artificial Intelligence, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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