| The Theory of Evolution Strategies 2001 Edition Contributor(s): Beyer, Hans-Georg (Author) |
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ISBN: 3540672974 ISBN-13: 9783540672975 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: March 2001 Annotation: Evolutionary Algorithms, in particular Evolution Strategies, Genetic Algorithms, or Evolutionary Programming, have found wide acceptance as robust optimization algorithms in the last ten years. Compared with the broad propagation and the resulting practical prosperity in different scientific fields, the theory has not progressed as much. 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. |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | Programming - Algorithms - Mathematics | Probability & Statistics - General |
| Dewey: 005.1 |
| LCCN: 2001020620 |
| Series: Natural Computing |
| Physical Information: 1.1" H x 6.42" W x 9.44" (1.56 lbs) 381 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Evolutionary algorithms, such as evolution strategies, genetic algorithms, or evolutionary programming, have found broad acceptance in the last ten years. In contrast to its broad propagation, theoretical analysis in this subject has not progressed as much. This monograph provides the framework and the first steps toward the theoretical analysis of Evolution Strategies (ES). The main emphasis is deriving a qualitative understanding of why and how these ES algorithms work. |