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

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

doi:10.1007/s10766-017-0503-4

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

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

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	4-22
Number of pages	19
Journal	International Journal of Parallel Programming
Volume	46
Issue number	1
Early online date	26 Apr 2017
DOIs	https://doi.org/10.1007/s10766-017-0503-4
Publication status	Published - Feb 2018

Keywords

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

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title = "The Missing Link! A new skeleton for evolutionary multi-agent systems in Erlang",

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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AU - Turek, Wojciech

AU - Byrski, Aleksander

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AU - Barwell, Adam David

AU - Brown, Christopher Mark

AU - Hammond, Kevin

AU - Janjic, Vladimir

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

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