Massively Parallel Evolutionary Computation on GPGPUs

Massively Parallel Evolutionary Computation on GPGPUs edited by Shigeyoshi Tsutsui, Pierre Collet.

Evolutionary algorithms (EAs) 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 co...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Tsutsui, Shigeyoshi (Editor), Collet, Pierre (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:Natural Computing Series,
Springer eBook Collection.
Subjects:
Artificial intelligence.
Computational intelligence.
Computers.
Computer organization.
Electrical engineering.
Electronic resources (E-books)
Online Access:Click to view e-book
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Call Number: E-Book
Status: Available

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