The Resource An introduction to genetic algorithms, Melanie Mitchell

An introduction to genetic algorithms, Melanie Mitchell

Label
An introduction to genetic algorithms
Title
An introduction to genetic algorithms
Statement of responsibility
Melanie Mitchell
Creator
Subject
Genre
Language
eng
Summary
Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics--particularly in machine learning, scientific modeling, and artificial life--and reviews a broad span of research, including the work of Mitchell and her colleagues.The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines.An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation
Member of
Cataloging source
N$T
http://library.link/vocab/creatorName
Mitchell, Melanie
Dewey number
575.1/01/13
Illustrations
illustrations
Index
index present
LC call number
QH441.2
LC item number
.M55 1996eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Complex adaptive systems
http://library.link/vocab/subjectName
  • Genetic algorithms
  • Genetics
  • Genetics
  • Génétique
  • Génétique
  • SCIENCE
  • Genetics
  • Genetics
  • Models, Genetic
  • Computer simulation
  • Algorithms
  • Genetic algorithms
  • Genetics
  • Genetics
  • Algoritmen
  • Evolutie
  • Genetica
  • Models, Genetic
  • Computer Simulation
  • Algorithms
Label
An introduction to genetic algorithms, Melanie Mitchell
Link
https://ezproxy.lib.ou.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1337
Instantiates
Publication
Copyright
Note
"A Bradford book."
Bibliography note
Includes bibliographical references (pages 191-201) and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1. Genetic Algorithms: An Overview -- 2. Genetic Algorithms in Problem Solving -- 3. Genetic Algorithms in Scientific Models -- 4. Theoretical Foundations of Genetic Algorithms -- 5. Implementing a Genetic Algorithm -- 6. Conclusions and Future Directions
Dimensions
unknown
Extent
1 online resource (viii, 205 pages)
Form of item
online
Governing access note
Access to Internet version restricted to York University faculty, staff and students
Isbn
9780585030944
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
eBooks on EBSCOhost
Other physical details
illustrations.
Specific material designation
remote
System control number
  • (OCoLC)42854439
  • (OCoLC)ocm42854439
Label
An introduction to genetic algorithms, Melanie Mitchell
Link
https://ezproxy.lib.ou.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1337
Publication
Copyright
Note
"A Bradford book."
Bibliography note
Includes bibliographical references (pages 191-201) and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
1. Genetic Algorithms: An Overview -- 2. Genetic Algorithms in Problem Solving -- 3. Genetic Algorithms in Scientific Models -- 4. Theoretical Foundations of Genetic Algorithms -- 5. Implementing a Genetic Algorithm -- 6. Conclusions and Future Directions
Dimensions
unknown
Extent
1 online resource (viii, 205 pages)
Form of item
online
Governing access note
Access to Internet version restricted to York University faculty, staff and students
Isbn
9780585030944
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
eBooks on EBSCOhost
Other physical details
illustrations.
Specific material designation
remote
System control number
  • (OCoLC)42854439
  • (OCoLC)ocm42854439

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