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Natural computing algorithms [electronic resource]

Natural computing algorithms [electronic resource]

Material type
E-Book(소장)
Personal Author
Brabazon, Anthony. O'Neill, Michael. McGarraghy, Seán.
Title Statement
Natural computing algorithms [electronic resource] / Anthony Brabazon, Michael O'Neill, Seán McGarraghy.
Publication, Distribution, etc
Berlin;   Heidelberg :   Springer Berlin Heidelberg :   Imprint: Springer,   2015.  
Physical Medium
1 online resource (xx, 554 p.) : ill. (some col.).
Series Statement
Natural computing series,1619-7127
ISBN
9783662436318
요약
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.
General Note
Title from e-Book title page.  
Content Notes
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.
Bibliography, Etc. Note
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
Subject Added Entry-Topical Term
Natural computation. Algorithms.
Short cut
URL
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007 cr
008 200728s2015 gw a ob 001 0 eng d
020 ▼a 9783662436318
040 ▼a 211009 ▼c 211009 ▼d 211009
050 4 ▼a QA75.5-76.95
082 0 4 ▼a 006.3/8 ▼2 23
084 ▼a 006.38 ▼2 DDCK
090 ▼a 006.38
100 1 ▼a Brabazon, Anthony.
245 1 0 ▼a Natural computing algorithms ▼h [electronic resource] / ▼c Anthony Brabazon, Michael O'Neill, Seán McGarraghy.
260 ▼a Berlin; ▼a Heidelberg : ▼b Springer Berlin Heidelberg : ▼b Imprint: Springer, ▼c 2015.
300 ▼a 1 online resource (xx, 554 p.) : ▼b ill. (some col.).
490 1 ▼a Natural computing series, ▼x 1619-7127
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a 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.
520 ▼a 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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Natural computation.
650 0 ▼a Algorithms.
700 1 ▼a O'Neill, Michael.
700 1 ▼a McGarraghy, Seán.
830 0 ▼a Natural computing series.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-662-43631-8
945 ▼a KLPA
991 ▼a E-Book(소장)

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/e-Book Collection/ Call Number CR 006.38 Accession No. E14028993 Availability Loan can not(reference room) Due Date Make a Reservation Service M

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