Overview
- Provides the theoretical framework for Evolution Strategies
- Includes supplementary material: sn.pub/extras
Part of the book series: Natural Computing Series (NCS)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
- Evolution Strategy
- Evolutionary Algorithms
- Evolutionary Alorithm Theory
- Evolutionary Programming
- Evolutionsstrategie
- Evolutionäre Algorithmen
- Genetic Algorithms
- Genetische Algorithmen
- Optimization
- algorithms
- evolution
- evolutionary algorithm
- genetic algorithm
- algorithm analysis and problem complexity
About this book
This monograph provides the framework and the first steps toward the theoretical analysis of Evolution Strategies (ES). The main emphasis is on understanding the functioning of these probabilistic optimization algorithms in real-valued search spaces by investigating the dynamical properties of some well-established ES algorithms. The book introduces the basic concepts of this analysis, such as progress rate, quality gain, and self-adaptation response, and describes how to calculate these quantities. Based on the analysis, functioning principles are derived, aiming at a qualitative understanding of why and how ES algorithms work.
Reviews
From the reviews:
"He gives an extensive mathematical treatment of idealised models of behaviour for several types of EA … . The detail is extensive enough to guide and educate graduate students … . The figures are clear and convincing. Part of the quality of the book is its aesthetically pleasing layout, for both figures and mathematics. … The book is a desirable resource for all those, students and others, who need or wish to have a single portable source for the mathematically-based fundamentals of the subject." (John Campbell, Expert Update, Vol. 6 (1), 2003)
"Evolutionary algorithms (EA) have found a broad acceptance as robust optimization algorithms in the last ten years. … The aim of this monograph is to provide a theoretical framework for the ES research field. … The book contains references to open problems, to new problem formulations, and to future research directions at the relevant places." (Horst Hollatz, Zentralblatt MATH, Vol. 969, 2001)
Authors and Affiliations
Bibliographic Information
Book Title: The Theory of Evolution Strategies
Authors: Hans-Georg Beyer
Series Title: Natural Computing Series
DOI: https://doi.org/10.1007/978-3-662-04378-3
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2001
Hardcover ISBN: 978-3-540-67297-5Published: 27 March 2001
Softcover ISBN: 978-3-642-08670-0Published: 06 December 2010
eBook ISBN: 978-3-662-04378-3Published: 09 March 2013
Series ISSN: 1619-7127
Series E-ISSN: 2627-6461
Edition Number: 1
Number of Pages: XX, 381
Topics: Artificial Intelligence, Programming Techniques, Algorithm Analysis and Problem Complexity, Complex Systems, Computer Appl. in Life Sciences, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences