Coverart for item
The Resource Massively parallel evolutionary computation on GPGPUs, editors, Shigeyoshi Tsutsui (Dept. of Management and Information Science, Hannan University, Matsubara, Osaka, Japan), Pierre Collet (ICube Laboratory UMR CNRS 7357, Université de Strasbourg, Illkirch, France)

Massively parallel evolutionary computation on GPGPUs, editors, Shigeyoshi Tsutsui (Dept. of Management and Information Science, Hannan University, Matsubara, Osaka, Japan), Pierre Collet (ICube Laboratory UMR CNRS 7357, Université de Strasbourg, Illkirch, France)

Label
Massively parallel evolutionary computation on GPGPUs
Title
Massively parallel evolutionary computation on GPGPUs
Statement of responsibility
editors, Shigeyoshi Tsutsui (Dept. of Management and Information Science, Hannan University, Matsubara, Osaka, Japan), Pierre Collet (ICube Laboratory UMR CNRS 7357, Université de Strasbourg, Illkirch, France)
Contributor
Editor
Subject
Language
eng
Summary
Evolutionary algorithms are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Recent advances in general-purpose computing on graphics processing units (GPGPU) have opened up the use of parallel EAs. Topics include: a comprehensive introduction to the approach, explaining the characteristics of the hardware used, and presenting a representative project to develop a platform for automatic parallelization of evolutionary computing (EC) on GPGPUs; key EC approaches, in particular: generic local search, tabu search, genetic algorithms, differential evolution, swarm and ant colony optimization, systolic genetic search, genetic programming, and multiobjective optimization; and successful results from real-world problems. --
Member of
Assigning source
Edited summary from book
Cataloging source
CtWfDGI
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Natural computing series
Massively parallel evolutionary computation on GPGPUs, editors, Shigeyoshi Tsutsui (Dept. of Management and Information Science, Hannan University, Matsubara, Osaka, Japan), Pierre Collet (ICube Laboratory UMR CNRS 7357, Université de Strasbourg, Illkirch, France)
Label
Massively parallel evolutionary computation on GPGPUs, editors, Shigeyoshi Tsutsui (Dept. of Management and Information Science, Hannan University, Matsubara, Osaka, Japan), Pierre Collet (ICube Laboratory UMR CNRS 7357, Université de Strasbourg, Illkirch, France)
Publication
Copyright
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Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
mixed
Content category
text
Content type code
txt
Content type MARC source
rdacontent
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9783642379598&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b4359267'}
Extent
1 online resource
Form of item
online
Isbn
9783642379598
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Specific material designation
remote

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