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The Missing Link! A new skeleton for evolutionary multi-agent systems in Erlang

Research output: Contribution to journalArticle

Author(s)

Jan Stypka, Wojciech Turek, Aleksander Byrski, Marek Kisiel-Dorohinicki, Adam David Barwell, Christopher Mark Brown, Kevin Hammond, Vladimir Janjic

School/Research organisations

Abstract

Evolutionary multi-agent systems (EMAS) play a critical role in many artificial intelligence applications that are in use today. In this paper, we present a new generic skeleton in Erlang for parallel EMAS computations. The skeleton enables us to capture a wide variety of concrete evolutionary computations that can exploit the same underlying parallel implementation. We demonstrate the use of our skeleton on two different evolutionary computing applications: (1) computing the minimum of the Rastrigin function; and (2) solving an urban traffic optimisation problem. We show that we can obtain very good speedups (up to 142.44 ×× the sequential performance) on a variety of different parallel hardware, while requiring very little parallelisation effort.
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Details

Original languageEnglish
Pages (from-to)4-22
Number of pages19
JournalInternational Journal of Parallel Programming
Volume46
Issue number1
Early online date26 Apr 2017
DOIs
Publication statusPublished - Feb 2018

    Research areas

  • Multi-core programming, Erlang, Agent-based computing, Metaheuristics, Many-core programming, Algorithmic skeletons

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ID: 246520143