Self-adaptive heuristics for evolutionary computation (Record no. 366322)

MARC details
000 -LEADER
fixed length control field 01770 a2200217 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140323b2008 xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540692805
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kramer, Oliver
9 (RLIN) 56907
245 ## - TITLE STATEMENT
Title Self-adaptive heuristics for evolutionary computation
Statement of responsibility, etc. Kramer, Oliver
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York
Name of publisher, distributor, etc. Springer
Date of publication, distribution, etc. 2008
300 ## - PHYSICAL DESCRIPTION
Extent xii, 181 p.
365 ## - TRADE PRICE
Price amount EUR 99.95
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Studies in computational intelligence, vol. 147
9 (RLIN) 56908
520 ## - SUMMARY, ETC.
Summary, etc. Evolutionary algorithms are successful biologically inspired meta-heuristics. Their success depends on adequate parameter settings. The question arises: how can evolutionary algorithms learn parameters automatically during the optimization? Evolution strategies gave an answer decades ago: self-adaptation. Their self-adaptive mutation control turned out to be exceptionally successful. But nevertheless self-adaptation has not achieved the attention it deserves. This book introduces various types of self-adaptive parameters for evolutionary computation. Biased mutation for evolution strategies is useful for constrained search spaces. Self-adaptive inversion mutation accelerates the search on combinatorial TSP-like problems. After the analysis of self-adaptive crossover operators the book concentrates on premature convergence of self-adaptive mutation control at the constraint boundary. Besides extensive experiments, statistical tests and some theoretical investigations enrich the analysis of the proposed concepts. (Source: www.alibris.com)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Evolutionary programming (Computer science)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Neural networks (Computer science)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Evolutionary computation.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
        Ahmedabad Ahmedabad   18/04/2010   006.3 K7S3 167299 19/04/2010 6886.55 19/04/2010 Book

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