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Erschienen in:
Optimization Under Fuzzy Constraints: From a Heuristic Algorithm to an Algorithm that Always Converges Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Going Stateless in Concurrent Evolutionary Algorithms

verfasst von : Juan J. Merelo, José-Mario García-Valdez

Erschienen in: Applied Computer Sciences in Engineering

Verlag: Springer International Publishing

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Abstract

Concurrent languages such as Perl 6 fully leverage the power of current multi-core and hyper-threaded computer architectures, and they include easy ways of automatically parallelizing code. However, to achieve more computational capability by using all threads and cores, algorithms need to be redesigned to be run in a concurrent environment; in particular, the use of a reactive, fully functional patterns need to turn the algorithm into a series of stateless steps, with simple functions that receive all the context and map it to the next stage. In this paper, we are going to analyze different versions of these stateless, reactive architectures applied to evolutionary algorithms, assessing how they interact with the characteristics of the evolutionary algorithm itself and show how they improve the scaling behavior and performance. We will use the Perl 6 language, which is a modern, concurrent language that was released recently and is still under very active development.

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Vorheriges Kapitel Optimization Under Fuzzy Constraints: From a Heuristic Algorithm to an Algorithm that Always Converges
Nächstes Kapitel Thermal Vein Signatures, DNA and EEG Brainprint in Biometric User Authentication
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Metadaten
Titel
Going Stateless in Concurrent Evolutionary Algorithms
verfasst von
Juan J. Merelo
José-Mario García-Valdez
Copyright-Jahr
2018
Buch
Applied Computer Sciences in Engineering

Print ISBN: 978-3-030-00349-4

Electronic ISBN: 978-3-030-00350-0

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-030-00350-0_2

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