EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV
International Conference Held at Leiden University, July 10-13, 2013
Editors: Emmerich, M., Deutz, A., Schuetze, O., Bäck, Th., Tantar, E., Tantar, A.-A., Del Moral, P., Legrand, P., Bouvry, P., Coello Coello, C.A. (Eds.)
Free Preview- Latest research on Probability, Set Oriented Numerics, and Evolutionary Computation
- Results of EVOLVE 2013 conference held July 11-13 2013 at Leiden, the Netherlands
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- About this book
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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.
- Table of contents (20 chapters)
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Constructing a Solution Attractor for the Probabilistic Traveling Salesman Problem through Simulation
Pages 1-15
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Unsupervised Classifier Based on Heuristic Optimization and Maximum Entropy Principle
Pages 17-30
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Training Multilayer Perceptron by Conformal Geometric Evolutionary Algorithm
Pages 31-45
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RotaSVM: A New Ensemble Classifier
Pages 47-57
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Finding Biologically Plausible Complex Network Topologies with a New Evolutionary Approach for Network Generation
Pages 59-73
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Table of contents (20 chapters)
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Bibliographic Information
- Bibliographic Information
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- 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 Coello
- Series Title
- Advances in Intelligent Systems and Computing
- Series Volume
- 227
- Copyright
- 2013
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-01128-8
- DOI
- 10.1007/978-3-319-01128-8
- Softcover ISBN
- 978-3-319-01127-1
- Series ISSN
- 2194-5357
- Edition Number
- 1
- Number of Pages
- XIV, 324
- Number of Illustrations
- 140 b/w illustrations
- Topics
