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Genetic Algorithm Essentials. (Record no. 20314)

MARC details
000 -LEADER
fixed length control field 03510nam a22004333i 4500
001 - CONTROL NUMBER
control field EBC6306502
003 - CONTROL NUMBER IDENTIFIER
control field MiAaPQ
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240724114459.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240724s2017 xx o ||||0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319521565
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9783319521558
035 ## - SYSTEM CONTROL NUMBER
System control number (MiAaPQ)EBC6306502
035 ## - SYSTEM CONTROL NUMBER
System control number (Au-PeEL)EBL6306502
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)969344131
040 ## - CATALOGING SOURCE
Original cataloging agency MiAaPQ
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency MiAaPQ
Modifying agency MiAaPQ
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q342
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.7
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kramer, Oliver.
245 10 - TITLE STATEMENT
Title Genetic Algorithm Essentials.
250 ## - EDITION STATEMENT
Edition statement 1st ed.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing AG,
Date of production, publication, distribution, manufacture, or copyright notice 2017.
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2017.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (94 pages)
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
490 1# - SERIES STATEMENT
Series statement Studies in Computational Intelligence Series ;
Volume/sequential designation v.679
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Intro -- Contents -- Abstract -- Foundations -- 1 Introduction -- 1.1 Optimization -- 1.2 From Biology to Genetic Algorithms -- 1.3 Genetic Algorithm Variants -- 1.4 Related Optimization Heuristics -- 1.5 This Book -- 1.6 Further Remarks -- 2 Genetic Algorithms -- 2.1 Introduction -- 2.2 Basic Genetic Algorithm -- 2.3 Crossover -- 2.4 Mutation -- 2.5 Genotype-Phenotype Mapping -- 2.6 Fitness -- 2.7 Selection -- 2.8 Termination -- 2.9 Experiments -- 2.10 Summary -- 3 Parameters -- 3.1 Introduction -- 3.2 Parameter Tuning -- 3.3 Meta-Genetic Algorithm -- 3.4 Deterministic Control -- 3.5 Rechenberg -- 3.6 Self-adaptation -- 3.7 Summary -- Solution Spaces -- 4 Multimodality -- 4.1 Introduction -- 4.2 Restarts -- 4.3 Fitness Sharing -- 4.4 Novelty Search -- 4.5 Niching -- 4.6 Summary -- 5 Constraints -- 5.1 Introduction -- 5.2 Constraints -- 5.3 Death Penalty -- 5.4 Penalty Functions -- 5.5 Repair -- 5.6 Decoders -- 5.7 Premature Stagnation -- 5.8 Summary -- 6 Multiple Objectives -- 6.1 Introduction -- 6.2 Multi-objective Optimization -- 6.3 Non-dominated Sorting -- 6.4 Crowding Distance -- 6.5 Rakes -- 6.6 Hypervolume Indicator -- 6.7 Summary -- Advanced Concepts -- 7 Theory -- 7.1 Introduction -- 7.2 Runtime Analysis -- 7.3 Markov Chains -- 7.4 Progress Rates -- 7.5 No Free Lunch -- 7.6 Schema Theorem -- 7.7 Building Block Hypothesis -- 7.8 Summary -- 8 Machine Learning -- 8.1 Introduction -- 8.2 Covariance Matrix Estimation -- 8.3 Fitness Surrogates -- 8.4 Constraint Surrogates -- 8.5 Dimensionality Reduction for Visualization -- 8.6 Summary -- 9 Applications -- 9.1 Introduction -- 9.2 Unsupervised Regression -- 9.3 Balancing Ensembles -- 9.4 Feature Tuning -- 9.5 Wind Turbine Placement -- 9.6 Virtual Power Plants -- 9.7 Summary -- Ending -- 10 Summary and Outlook -- 10.1 Summary -- 10.2 Outlook -- Appendix References -- Index.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on publisher supplied metadata and other sources.
590 ## - LOCAL NOTE (RLIN)
Local note Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Genetic algorithms.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Kramer, Oliver
Title Genetic Algorithm Essentials
Place, publisher, and date of publication Cham : Springer International Publishing AG,c2017
International Standard Book Number 9783319521558
797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN)
Corporate name or jurisdiction name as entry element ProQuest (Firm)
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Studies in Computational Intelligence Series
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=6306502">https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=6306502</a>
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