Electronic Resource

Massively parallel evolutionary computation on GPGPUs

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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 10 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 6 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.

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Ketersediaan

Informasi Detail

Judul Seri

Natural Computing Series

No. Panggil

E1227

Penerbit

Berlin : Springer., 2013

Deskripsi Fisik

xii, 453 hlm. ; il. warna

Bahasa

English

ISBN/ISSN

9783642379598

Klasifikasi

NONE

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

-

Subjek

Kecerdasan Buatan
Kecerdasan Komputasi
Teori Komputasi

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Shigeyoshi Tsutsui dan Pierre Collet

Versi lain/terkait

Lampiran Berkas

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