The Resource Natural Computing Algorithms, by Anthony Brabazon, Michael O'Neill, Seán McGarraghy, (electronic resource)

Natural Computing Algorithms, by Anthony Brabazon, Michael O'Neill, Seán McGarraghy, (electronic resource)

Label
Natural Computing Algorithms
Title
Natural Computing Algorithms
Statement of responsibility
by Anthony Brabazon, Michael O'Neill, Seán McGarraghy
Creator
Contributor
Author
Provider
Subject
Language
eng
Summary
The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science
Member of
http://library.link/vocab/creatorName
Brabazon, Anthony
Image bit depth
0
LC call number
QA75.5-76.95
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • O'Neill, Michael.
  • McGarraghy, Seán.
  • SpringerLink
Series statement
Natural Computing Series,
http://library.link/vocab/subjectName
  • Computer science
  • Operations research
  • Decision making
  • Computers
  • Artificial intelligence
  • Economics, Mathematical
  • Management science
  • Computational intelligence
  • Computer Science
  • Theory of Computation
  • Computational Intelligence
  • Artificial Intelligence (incl. Robotics)
  • Operations Research, Management Science
  • Operation Research/Decision Theory
  • Quantitative Finance
Label
Natural Computing Algorithms, by Anthony Brabazon, Michael O'Neill, Seán McGarraghy, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Introduction to Evolutionary Computing -- Genetic Algorithms -- Extending the Genetic Algorithm -- Evolution Strategies and Evolutionary Programming -- Differential Evolution -- Genetic Programming -- Particle Swarm Algorithms -- Ant Algorithms -- Honeybee Algorithms -- Other Social Algorithms -- Bacterial Foraging Algorithms -- Neural Networks for Supervised Learning -- Neural Networks for Unsupervised Learning -- Neuroevolution -- Artificial Immune Systems -- An Introduction to Developmental and Grammatical Computing -- Grammar-Based and Developmental Genetic Programming -- Grammatical Evolution -- TAG3P and Developmental TAG3P -- Genetic Regulatory Networks -- An Introduction to Physics-Inspired Computing -- Physics-Inspired Computing Algorithms -- Quantum-Inspired Evolutionary Algorithms -- Plant-Inspired Algorithms -- Chemistry-Inspired Algorithms -- Conclusions -- References -- Index
Dimensions
unknown
Edition
1st ed. 2015.
Extent
XX, 554 p. 164 illus., 22 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783662436318
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-662-43631-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-662-43631-8
Label
Natural Computing Algorithms, by Anthony Brabazon, Michael O'Neill, Seán McGarraghy, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introduction -- Introduction to Evolutionary Computing -- Genetic Algorithms -- Extending the Genetic Algorithm -- Evolution Strategies and Evolutionary Programming -- Differential Evolution -- Genetic Programming -- Particle Swarm Algorithms -- Ant Algorithms -- Honeybee Algorithms -- Other Social Algorithms -- Bacterial Foraging Algorithms -- Neural Networks for Supervised Learning -- Neural Networks for Unsupervised Learning -- Neuroevolution -- Artificial Immune Systems -- An Introduction to Developmental and Grammatical Computing -- Grammar-Based and Developmental Genetic Programming -- Grammatical Evolution -- TAG3P and Developmental TAG3P -- Genetic Regulatory Networks -- An Introduction to Physics-Inspired Computing -- Physics-Inspired Computing Algorithms -- Quantum-Inspired Evolutionary Algorithms -- Plant-Inspired Algorithms -- Chemistry-Inspired Algorithms -- Conclusions -- References -- Index
Dimensions
unknown
Edition
1st ed. 2015.
Extent
XX, 554 p. 164 illus., 22 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783662436318
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-662-43631-8
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-662-43631-8

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