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Elsevier GPU-based Parallel Swarm Intelligence Algorithms Book

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Description

Explore the intersection of graphics processing units (GPUs) and swarm intelligence with this specialized technical book from Elsevier. This resource covers general-purpose computing (GPGPU) in detail and provides practical guidance for implementing swarm intelligence algorithms on GPU platforms. Readers will find detailed implementation information for several standard swarm intelligence algorithms, including Particle Swarm Optimization (PSO), Firefly Algorithm (FWA), Genetic Algorithm (GA), Differential Evolution (DE), and Ant Colony Optimization (ACO). This text serves as a guide for understanding how to leverage parallel computing to enhance the performance of these complex algorithms.

Key Features

Covers the integration of graphics processing units (GPUs) for general-purpose computing (GPGPU) and swarm intelligence.

Provides detailed guidance on the appropriate implementation of swarm intelligence algorithms on GPU platforms.

Includes implementation details for Particle Swarm Optimization (PSO) and Firefly Algorithm (FWA).

Covers Genetic Algorithm (GA), Differential Evolution (DE), and Ant Colony Optimization (ACO) implementations.

Published by Morgan Kaufmann to support research in computer science architecture and microprocessors.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 April 2016
Listed Since
04 February 2016

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No barcode data available

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