Evolutionary Algorithms for Solving Multi-Objective Problems (Record no. 81717)

000 -LEADER
fixed length control field 05474nam a22006135i 4500
001 - CONTROL NUMBER
control field 978-1-4757-5184-0
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221102211606.0
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 130220s2002 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781475751840
-- 978-1-4757-5184-0
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4757-5184-0
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Coello Coello, Carlos.
Relator term author.
Relationship aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 66760
245 10 - TITLE STATEMENT
Title Evolutionary Algorithms for Solving Multi-Objective Problems
Medium [electronic resource] /
Statement of responsibility, etc. by Carlos Coello Coello, David A. Van Veldhuizen, Gary B. Lamont.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2002.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer Springer US :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2002.
300 ## - PHYSICAL DESCRIPTION
Extent XXXV, 576 p. 85 illus.
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 Genetic Algorithms and Evolutionary Computation ;
Volume/sequential designation 5
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Basic Concepts -- 2. Evolutionary Algorithm MOP Approaches -- 3. Moea Test Suites -- 4. Moea Testing and Analysis -- 5. Moea Theory and Issues -- 6. Applications -- 7. Moea Parallelization -- 8. Multi-Criteria Decision Making -- 9. Special Topics -- 10. Epilog -- Appendix A: Moea Classification and Technique Analysis -- 1 Introduction -- 1.1 Mathematical Notation -- 1.2 Presentation Layout -- 2.1 Lexicographic Techniques -- 2.2 Linear Fitness Combination Techniques -- 2.3 Nonlinear Fitness Combination Techniques -- 2.3.1 Multiplicative Fitness Combination Techniques -- 2.3.2 Target Vector Fitness Combination Techniques -- 2.3.3 Minimax Fitness Combination Techniques -- 3 Progressive MOEA Techniques -- 4.1 Independent Sampling Techniques -- 4.2 Criterion Selection Techniques -- 4.3 Aggregation Selection Techniques -- 4.4 Pareto Sampling Techniques -- 4.4.1 Pareto-Based Selection -- 4.4.2 Pareto Rank- and Niche-Based Selection -- 4.4.3 Pareto Deme-Based Selection -- 4.4.4 Pareto Elitist-Based Selection -- 4.5 Hybrid Selection Techniques -- 5 MOEA Comparisons and Theory -- 5.1 MOEA Technique Comparisons -- 5.2 MOEA Theory and Reviews -- 6 Alternative Multiobjective Techniques -- Appendix B: MOPs in the Literature -- Appendix E: Moea Software Availability -- 1 Introduction -- Appendix F: Moea-Related Information -- 1 Introduction -- 2 Websites of Interest -- 3 Conferences -- 4 Journals -- 5 Researchers -- 6 Distribution Lists -- References.
520 ## - SUMMARY, ETC.
Summary, etc. Researchers and practitioners alike are increasingly turning to search, op­ timization, and machine-learning procedures based on natural selection and natural genetics to solve problems across the spectrum of human endeavor. These genetic algorithms and techniques of evolutionary computation are solv­ ing problems and inventing new hardware and software that rival human designs. The Kluwer Series on Genetic Algorithms and Evolutionary Computation pub­ lishes research monographs, edited collections, and graduate-level texts in this rapidly growing field. Primary areas of coverage include the theory, implemen­ tation, and application of genetic algorithms (GAs), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). The series also pub­ lishes texts in related fields such as artificial life, adaptive behavior, artificial immune systems, agent-based systems, neural computing, fuzzy systems, and quantum computing as long as GEC techniques are part of or inspiration for the system being described. This encyclopedic volume on the use of the algorithms of genetic and evolu­ tionary computation for the solution of multi-objective problems is a landmark addition to the literature that comes just in the nick of time. Multi-objective evolutionary algorithms (MOEAs) are receiving increasing and unprecedented attention. Researchers and practitioners are finding an irresistible match be­ tween the popUlation available in most genetic and evolutionary algorithms and the need in multi-objective problems to approximate the Pareto trade-off curve or surface.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
9 (RLIN) 3407
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer science.
9 (RLIN) 9832
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering.
9 (RLIN) 9405
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Operations research.
9 (RLIN) 12218
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence.
9 (RLIN) 3407
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Theory of Computation.
9 (RLIN) 66761
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Technology and Engineering.
9 (RLIN) 66762
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Operations Research and Decision Theory.
9 (RLIN) 31599
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Van Veldhuizen, David A.
Relator term author.
Relationship aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 66763
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lamont, Gary B.
Relator term author.
Relationship aut
-- http://id.loc.gov/vocabulary/relators/aut
9 (RLIN) 66764
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
9 (RLIN) 66765
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781475751864
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781475751857
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9780306467622
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Genetic Algorithms and Evolutionary Computation ;
Volume/sequential designation 5
9 (RLIN) 66766
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-1-4757-5184-0">https://doi.org/10.1007/978-1-4757-5184-0</a>
912 ## -
-- ZDB-2-SCS
912 ## -
-- ZDB-2-SXCS
912 ## -
-- ZDB-2-BAE
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eTextbook

No items available.