The Missing Link! A new skeleton for evolutionary multi-agent systems in Erlang
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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.
Stypka , J , Turek , W , Byrski , A , Kisiel-Dorohinicki , M , Barwell , A D , Brown , C M , Hammond , K & Janjic , V 2017 , ' The Missing Link! A new skeleton for evolutionary multi-agent systems in Erlang ' International Journal of Parallel Programming , vol First Online . DOI: 10.1007/s10766-017-0503-4
International Journal of Parallel Programming
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