Massively Parallel Evolutionary Computation on GPGPUs (Record no. 47114)
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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 | |
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> |
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942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | |
Koha item type |
No items available.