High-Level Parallel Ant Colony Optimization with Algorithmic Skeletons

Parallel implementations of swarm intelligence algorithms such as the ant colony optimization (ACO) have been widely used to shorten the execution time when solving complex optimization problems. When aiming for a GPU environment, developing efficient parallel versions of such algorithms using CUDA...

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Veröffentlicht in:	International journal of parallel programming Jg. 49; H. 6; S. 776 - 801
Hauptverfasser:	de Melo Menezes, Breno A., Herrmann, Nina, Kuchen, Herbert, Buarque de Lima Neto, Fernando
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2021 Springer Nature B.V
Schlagworte:	2020 Algorithms Ant colony optimization Computer Science Domain specific languages Optimization Parallel programming Processor Architectures Software Engineering/Programming and Operating Systems Special Issue on High-Level Parallel Programming and Applications Swarm intelligence Theory of Computation High performance computing Ant colony optimization Algorithmic skeletons
ISSN:	0885-7458, 1573-7640
Online-Zugang:	Volltext
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