Welcome to Central Library, SUST

Contemporary Evolution Strategies (Record no. 47504)

MARC details
000 -LEADER
fixed length control field 03920nam a22005417a 4500
001 - CONTROL NUMBER
control field sulb-eb0025412
003 - CONTROL NUMBER IDENTIFIER
control field BD-SySUS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20160413122525.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 131002s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642401374
-- 978-3-642-40137-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-40137-4
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.A43
072 #7 - SUBJECT CATEGORY CODE
Subject category code UMB
Source bicssc
Subject category code COM051300
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.1
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bäck, Thomas.
Relator term author.
245 10 - TITLE STATEMENT
Title Contemporary Evolution Strategies
Medium [electronic resource] /
Statement of responsibility, etc. by Thomas Bäck, Christophe Foussette, Peter Krause.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berlin, Heidelberg :
Name of producer, publisher, distributor, manufacturer Springer Berlin Heidelberg :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2013.
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 90 p. 33 illus., 31 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Natural Computing Series,
International Standard Serial Number 1619-7127
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Algorithms.
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Mathematical optimization.
Topical term or geographic name as entry element Computational intelligence.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Algorithm Analysis and Problem Complexity.
Topical term or geographic name as entry element Computational Intelligence.
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
Topical term or geographic name as entry element Optimization.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Foussette, Christophe.
Relator term author.
Personal name Krause, Peter.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783642401367
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Natural Computing Series,
International Standard Serial Number 1619-7127
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-3-642-40137-4">http://dx.doi.org/10.1007/978-3-642-40137-4</a>
912 ## -
-- ZDB-2-SCS
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type

No items available.