The Resource Analyzing evolutionary algorithms : the computer science perspective, Thomas Jansen, (electronic resource)

Analyzing evolutionary algorithms : the computer science perspective, Thomas Jansen, (electronic resource)

Label
Analyzing evolutionary algorithms : the computer science perspective
Title
Analyzing evolutionary algorithms
Title remainder
the computer science perspective
Statement of responsibility
Thomas Jansen
Creator
Contributor
Provider
Subject
Language
eng
Summary
Evolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular in optimization, and analysis of such algorithms has seen tremendous advances in recent years. In this book the author provides an introduction to the methods used to analyze evolutionary algorithms and other randomized search heuristics. He starts with an algorithmic and modular perspective and gives guidelines for the design of evolutionary algorithms. He then places the approach in the broader research context with a chapter on theoretical perspectives. By adopting a complexity-theoretical perspective, he derives general limitations for black-box optimization, yielding lower bounds on the performance of evolutionary algorithms, and then develops general methods for deriving upper and lower bounds step by step. This main part is followed by a chapter covering practical applications of these methods. The notational and mathematical basics are covered in an appendix, the results presented are derived in detail, and each chapter ends with detailed comments and pointers to further reading. So the book is a useful reference for both graduate students and researchers engaged with the theoretical analysis of such algorithms
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Jansen, Thomas
Image bit depth
0
LC call number
QA76.618
LC item number
.J36 2013
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
SpringerLink
Series statement
Natural Computing Series,
http://library.link/vocab/subjectName
  • Algorithms
  • Artificial Intelligence
  • Evolutionary computation
  • Evolutionary computation
Label
Analyzing evolutionary algorithms : the computer science perspective, Thomas Jansen, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Color
not applicable
Contents
Introduction -- Evolutionary Algorithms and Other Randomized Search Heuristics -- Theoretical Perspectives on Evolutionay Algorithms -- General Limits in Black-Box Optimization -- Methods for the Analysis of Evolutionary Algorithms -- Selected Topics in the Analysis of Evolutionary Algorithms -- App. A, Landau Notation -- App. B, Tail Estimations -- App. C, Martingales and Applications
Dimensions
unknown
Extent
1 online resource.
File format
multiple file formats
Form of item
electronic
Isbn
9783642173394
Level of compression
uncompressed
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)826121866
  • (OCoLC)ocn826121866
Label
Analyzing evolutionary algorithms : the computer science perspective, Thomas Jansen, (electronic resource)
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references and index
Color
not applicable
Contents
Introduction -- Evolutionary Algorithms and Other Randomized Search Heuristics -- Theoretical Perspectives on Evolutionay Algorithms -- General Limits in Black-Box Optimization -- Methods for the Analysis of Evolutionary Algorithms -- Selected Topics in the Analysis of Evolutionary Algorithms -- App. A, Landau Notation -- App. B, Tail Estimations -- App. C, Martingales and Applications
Dimensions
unknown
Extent
1 online resource.
File format
multiple file formats
Form of item
electronic
Isbn
9783642173394
Level of compression
uncompressed
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (OCoLC)826121866
  • (OCoLC)ocn826121866

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