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Massively Parallel Evolutionary Computation on GPGPUs (Record no. 47114)

MARC details
000 -LEADER
fixed length control field 05513nam a22005777a 4500
001 - CONTROL NUMBER
control field sulb-eb0025022
003 - CONTROL NUMBER IDENTIFIER
control field BD-SySUS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20160413122507.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 131205s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642379598
-- 978-3-642-37959-8
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-37959-8
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
Classification number TJ210.2-211.495
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
Subject category code TJFM1
Source bicssc
Subject category code COM004000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Massively Parallel Evolutionary Computation on GPGPUs
Medium [electronic resource] /
Statement of responsibility, etc. edited by Shigeyoshi Tsutsui, Pierre Collet.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berlin, Heidelberg :
Name of producer, publisher, distributor, manufacturer Springer Berlin Heidelberg :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2013.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 453 p. 199 illus., 95 illus. in color.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Natural Computing Series,
International Standard Serial Number 1619-7127
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chap. 1 Why GPGPUs for Evolutionary Computation? -- Chap. 2 Understanding NVIDIA GPGPU Hardware -- Chap. 3 Automatic Parallelization of EC on GPGPUs and Clusters of GPGPU Machines with EASEA and EASEA-CLOUD -- Chap. 4 Generic Local Search (Memetic) Algorithm on a Single GPGPU Chip -- Chap. 5 arGA: Adaptive Resolution Micro-genetic Algorithm with Tabu Search to Solve MINLP Problems Using GPU -- Chap. 6 An Analytical Study of GPU Computation by Parallel GA with Independent Runs -- Chap. 7 Many-Threaded Differential Evolution on the GPU -- Chap. 8 Scheduling Using Multiple Swarm Particle Optimization with Memetic Features on Graphics Processing Units -- Chap. 9 ACO with Tabu Search on GPUs for Fast Solution of the QAP -- Chap. 10 New Ideas in Parallel Metaheuristics on GPU: Systolic Genetic Search -- Chap. 11 Genetic Programming on GPGPU Cards Using EASEA -- Chap. 12 Cartesian Genetic Programming on the GPU -- Chap. 13 Implementation Techniques for Massively Parallel Multi-objective Optimization -- Chap. 14 Data Mining Using Parallel Multi-objective Evolutionary Algorithms on Graphics Processing Units -- Chap. 15 Large-Scale Bioinformatics Data Mining with Parallel Genetic Programming on Graphics Processing Units -- Chap. 16 GPU-Accelerated High-Accuracy Molecular Docking Using Guided Differential Evolution -- Chap. 17 Using Large-Scale Parallel Systems for Complex Crystallographic Problems in Materials Science -- Chap. 18 Artificial Chemistries on GPU -- Chap. 19 Acceleration of Genetic Algorithms for Sudoku Solution on Many-Core Processors.
520 ## - SUMMARY, ETC.
Summary, etc. 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 computational resources. Therefore, there have been many attempts to develop platforms for running parallel EAs using multicore machines, massively parallel cluster machines, or grid computing environments. Recent advances in general-purpose computing on graphics processing units (GPGPU) have opened up this possibility for parallel EAs, and this is the first book dedicated to this exciting development.   The three chapters of Part I are tutorials, representing 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. The ten chapters in Part II focus on how to consider key EC approaches in the light of this advanced computational technique, in particular addressing generic local search, tabu search, genetic algorithms, differential evolution, swarm optimization, ant colony optimization, systolic genetic search, genetic programming, and multiobjective optimization. The six chapters in Part III present successful results from real-world problems in data mining, bioinformatics, drug discovery, crystallography, artificial chemistries, and sudoku.   Although the parallelism of EAs is suited to the single-instruction multiple-data (SIMD)-based GPU, there are many issues to be resolved in design and implementation, and a key feature of the contributions is the practical engineering advice offered. This book will be of value to researchers, practitioners, and graduate students in the areas of evolutionary computation and scientific computing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Computer organization.
Topical term or geographic name as entry element Computers.
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Computational intelligence.
Topical term or geographic name as entry element Electrical engineering.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
Topical term or geographic name as entry element Computational Intelligence.
Topical term or geographic name as entry element Theory of Computation.
Topical term or geographic name as entry element Computer Systems Organization and Communication Networks.
Topical term or geographic name as entry element Electrical Engineering.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tsutsui, Shigeyoshi.
Relator term editor.
Personal name Collet, Pierre.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9783642379581
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Natural Computing Series,
International Standard Serial Number 1619-7127
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-3-642-37959-8">http://dx.doi.org/10.1007/978-3-642-37959-8</a>
912 ## -
-- ZDB-2-SCS
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
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No items available.