Overview
- Latest research on Probability, Set Oriented Numerics, and Evolutionary Computation
- Carefully edited book on optimization, operation research, numerical analysis and evolutionary computation
- Written by leading experts in the field
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 175)
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About this book
The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements
may echo in different domains. Summarizing, the EVOLVE 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. The papers of the EVOLVE 2012 make a contribution to this goal.
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Keywords
Table of contents (32 papers)
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Cell Mapping and Quasi-Stationary Distributions
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EvolutionaryMulti-objective Optimization
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Combinatorial Optimization
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Probabilistic Modeling and Optimization for Emerging Networks
Editors and Affiliations
Bibliographic Information
Book Title: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II
Editors: Oliver Schütze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-642-31519-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Softcover ISBN: 978-3-642-31518-3Published: 14 August 2012
eBook ISBN: 978-3-642-31519-0Published: 14 August 2012
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XXIV, 508
Number of Illustrations: 152 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Mathematical Models of Cognitive Processes and Neural Networks, Operations Research/Decision Theory