The Resource Foundations of genetic algorithms 6, edited by Worthy N. Martin and William M. Spears, (electronic resource)

Foundations of genetic algorithms 6, edited by Worthy N. Martin and William M. Spears, (electronic resource)

Label
Foundations of genetic algorithms 6
Title
Foundations of genetic algorithms 6
Statement of responsibility
edited by Worthy N. Martin and William M. Spears
Title variation
Foundations of genetic algorithms six
Contributor
Subject
Genre
Language
  • eng
  • eng
Summary
Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems.Genetic algorithms are one of the more successful machine learning methods. Based on the metaphor of natural evolution, a genetic algorithm searches the available information in any given task and seeks the optimum solution by replacing weaker populations with stronger
Member of
Cataloging source
MiAaPQ
Dewey number
  • 006.3
  • 006.31
Illustrations
illustrations
Index
index present
Language note
English
LC call number
QA402.5
LC item number
.F68655 2001
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
  • 1962-
  • 2000
http://library.link/vocab/relatedWorkOrContributorName
  • Martin, W. N.
  • Spears, William M.
  • Workshop on Foundations of Genetic Algorithms
Series statement
The Morgan Kaufmann series in evolutionary computation,
http://library.link/vocab/subjectName
  • Genetic algorithms
  • Mathematical optimization
Label
Foundations of genetic algorithms 6, edited by Worthy N. Martin and William M. Spears, (electronic resource)
Instantiates
Publication
Note
"The 2000 Foundations of Genetic Algorithms (FOGA-6) workshop was the sixth biennial meeting in this series of workshops"--P. 1
Bibliography note
Includes bibliographical references and indexes
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
  • Front Cover; Foundations of Genetic Algorithms6; Copyright Page; Contents; Chapter 1. Introduction; Chapter 2. Overcoming Fitness Barriers in Multi-Modal Search Spaces; Chapter 3. Niches in NK-Landscapes; Chapter 4. New Methods for Tunable, Random Landscapes; Chapter 5. Analysis of Recombinative Algorithms on a Non-Separable Building-Block Problem; Chapter 6. Direct Statistical Estimation of GA Landscape Properties; Chapter 7. Comparing Population Mean Curves; Chapter 8. Local Performance of the ((/(I, () -ES in a Noisy Environment
  • Chapter 9. Recursive Conditional Scheme Theorem, Convergence and Population Sizing in Genetic AlgorithmsChapter 10. Towards a Theory of Strong Overgeneral Classifiers; Chapter 11. Evolutionary Optimization through PAC Learning; Chapter 12. Continuous Dynamical System Models of Steady-State Genetic Algorithms; Chapter 13. Mutation-Selection Algorithm: A Large Deviation Approach; Chapter 14. The Equilibrium and Transient Behavior of Mutation and Recombination; Chapter 15. The Mixing Rate of Different Crossover Operators; Chapter 16. Dynamic Parameter Control in Simple Evolutionary Algorithms
  • Chapter 17. Local Search and High Precision Gray Codes: Convergence Results and NeighborhoodsChapter 18. Burden and Benefits of Redundancy; Author Index; Key Word Index
Dimensions
unknown
Edition
First edition.
Extent
1 online resource (351 p.)
Form of item
online
Isbn
9786611072896
Media category
computer
Media type code
c
Specific material designation
remote
System control number
  • (EBL)318277
  • (OCoLC)476112750
  • (SSID)ssj0000157534
  • (PQKBManifestationID)11179236
  • (PQKBTitleCode)TC0000157534
  • (PQKBWorkID)10139664
  • (PQKB)10691122
  • (MiAaPQ)EBC318277
  • (EXLCZ)991000000000384487
Label
Foundations of genetic algorithms 6, edited by Worthy N. Martin and William M. Spears, (electronic resource)
Publication
Note
"The 2000 Foundations of Genetic Algorithms (FOGA-6) workshop was the sixth biennial meeting in this series of workshops"--P. 1
Bibliography note
Includes bibliographical references and indexes
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
  • Front Cover; Foundations of Genetic Algorithms6; Copyright Page; Contents; Chapter 1. Introduction; Chapter 2. Overcoming Fitness Barriers in Multi-Modal Search Spaces; Chapter 3. Niches in NK-Landscapes; Chapter 4. New Methods for Tunable, Random Landscapes; Chapter 5. Analysis of Recombinative Algorithms on a Non-Separable Building-Block Problem; Chapter 6. Direct Statistical Estimation of GA Landscape Properties; Chapter 7. Comparing Population Mean Curves; Chapter 8. Local Performance of the ((/(I, () -ES in a Noisy Environment
  • Chapter 9. Recursive Conditional Scheme Theorem, Convergence and Population Sizing in Genetic AlgorithmsChapter 10. Towards a Theory of Strong Overgeneral Classifiers; Chapter 11. Evolutionary Optimization through PAC Learning; Chapter 12. Continuous Dynamical System Models of Steady-State Genetic Algorithms; Chapter 13. Mutation-Selection Algorithm: A Large Deviation Approach; Chapter 14. The Equilibrium and Transient Behavior of Mutation and Recombination; Chapter 15. The Mixing Rate of Different Crossover Operators; Chapter 16. Dynamic Parameter Control in Simple Evolutionary Algorithms
  • Chapter 17. Local Search and High Precision Gray Codes: Convergence Results and NeighborhoodsChapter 18. Burden and Benefits of Redundancy; Author Index; Key Word Index
Dimensions
unknown
Edition
First edition.
Extent
1 online resource (351 p.)
Form of item
online
Isbn
9786611072896
Media category
computer
Media type code
c
Specific material designation
remote
System control number
  • (EBL)318277
  • (OCoLC)476112750
  • (SSID)ssj0000157534
  • (PQKBManifestationID)11179236
  • (PQKBTitleCode)TC0000157534
  • (PQKBWorkID)10139664
  • (PQKB)10691122
  • (MiAaPQ)EBC318277
  • (EXLCZ)991000000000384487

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