Self-adaptive heuristics for evolutionary computation (Record no. 366322)
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000 -LEADER | |
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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 |
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 |
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Ahmedabad | Ahmedabad | 18/04/2010 | 006.3 K7S3 | 167299 | 19/04/2010 | 6886.55 | 19/04/2010 | Book |