Overview
- Latest research on Probability, Set Oriented Numerics, and Evolutionary Computation
- Results of EVOLVE 2013 conference held July 11-13 2013 at Leiden, the Netherlands
- Written by experts in the field
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 227)
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Table of contents (20 papers)
Keywords
About this book
Numerical and computational methods are nowadays used in a wide range of contexts in complex systems research, biology, physics, and engineering. Over the last decades different methodological schools have emerged with emphasis on different aspects of computation, such as nature-inspired algorithms, set oriented numerics, probabilistic systems and Monte Carlo methods. Due to the use of different terminologies and emphasis on different aspects of algorithmic performance there is a strong need for a more integrated view and opportunities for cross-fertilization across particular disciplines.
These proceedings feature 20 original publications from distinguished authors in the cross-section of computational sciences, such as machine learning algorithms and probabilistic models, complex networks and fitness landscape analysis, set oriented numerics and cell mapping, evolutionary multiobjective optimization, diversity-oriented search, and the foundations of genetic programming algorithms. By presenting cutting edge results with a strong focus on foundations and integration aspects this work presents a stepping stone towards efficient, reliable, and well-analyzed methods for complex systems management and analysis.
Editors and Affiliations
Bibliographic Information
Book Title: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV
Book Subtitle: International Conference Held at Leiden University, July 10-13, 2013
Editors: Michael Emmerich, Andre Deutz, Oliver Schuetze, Thomas Bäck, Emilia Tantar, Alexandru-Adrian Tantar, Pierre Del Moral, Pierrick Legrand, Pascal Bouvry, … Carlos A. Coello
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-01128-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2013
Softcover ISBN: 978-3-319-01127-1Published: 28 June 2013
eBook ISBN: 978-3-319-01128-8Published: 12 June 2013
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XIV, 324
Number of Illustrations: 140 b/w illustrations
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