Contemporary Evolution Strategies (Record no. 51482)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03900nam a22005415i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-642-40137-4 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200420220214.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 131002s2013 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783642401374 |
| -- | 978-3-642-40137-4 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 005.1 |
| 100 1# - AUTHOR NAME | |
| Author | B�ack, Thomas. |
| 245 10 - TITLE STATEMENT | |
| Title | Contemporary Evolution Strategies |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XIII, 90 p. 33 illus., 31 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Natural Computing Series, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Chap. 1 - Introduction -- Chap. 2 - Evolution Strategies -- Chap. 3 - Taxonomy of Evolution Strategies -- Chap. 4 - Empirical Analysis -- Chap. 5 - Summary -- List of Figures -- List of Algorithms -- Bibliography. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Evolution strategies have more than 50 years of history in the field of evolutionary computation. Since the early 1990s, many algorithmic variations of evolution strategies have been developed, characterized by the fact that they use the so-called derandomization concept for strategy parameter adaptation. Most importantly, the covariance matrix adaptation strategy (CMA-ES) and its successors are the key representatives of this group of contemporary evolution strategies.   This book provides an overview of the key algorithm developments between 1990 and 2012, including brief descriptions of the algorithms, a unified pseudocode representation of each algorithm, and program code which is available for download. In addition, a taxonomy of these algorithms is provided to clarify similarities and differences as well as historical relationships between the various instances of evolution strategies. Moreover, due to the authors' focus on industrial applications of nonlinear optimization, all algorithms are empirically compared on the so-called BBOB (Black-Box Optimization Benchmarking) test function suite, and ranked according to their performance. In contrast to classical academic comparisons, however, only a very small number of objective function evaluations is permitted. In particular, an extremely small number of evaluations, such as between one hundred and one thousand for high-dimensional functions, is considered. This is motivated by the fact that many industrial optimization tasks do not permit more than a few hundred evaluations. Our experiments suggest that evolution strategies are powerful nonlinear direct optimizers even for challenging industrial problems with a very small budget of function evaluations.   The book is suitable for academic and industrial researchers and practitioners. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Foussette, Christophe. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Krause, Peter. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-642-40137-4 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin, Heidelberg : |
| -- | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| -- | 2013. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Algorithms. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Mathematical optimization. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational intelligence. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Algorithm Analysis and Problem Complexity. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence (incl. Robotics). |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Optimization. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 1619-7127 |
| 912 ## - | |
| -- | ZDB-2-SCS |
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