The Missing Link! A New Skeleton for Evolutionary Multi-agent Systems in Erlang.
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| Title: | The Missing Link! A New Skeleton for Evolutionary Multi-agent Systems in Erlang. |
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| Authors: | Stypka, Jan1 janstypka@gmail.com, Turek, Wojciech1 wojciech.turek@agh.edu.pl, Byrski, Aleksander1 olekb@agh.edu.pl, Kisiel-Dorohinicki, Marek1 doroh@agh.edu.pl, Barwell, Adam D.2 adb23@st-andrews.ac.uk, Brown, Christopher2 cmb21@st-andrews.ac.uk, Hammond, Kevin2 kh8@st-andrews.ac.uk, Janjic, Vladimir2 vj32@st-andrews.ac.uk |
| Source: | International Journal of Parallel Programming. Feb2018, Vol. 46 Issue 1, p4-22. 19p. |
| Subjects: | ERLANG (Computer program language), Multiagent systems, Evolutionary computation, City traffic, Computer software, Management |
| 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 $$\times $$ the sequential performance) on a variety of different parallel hardware, while requiring very little parallelisation effort. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| 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 $$\times $$ the sequential performance) on a variety of different parallel hardware, while requiring very little parallelisation effort. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 08857458 |
| DOI: | 10.1007/s10766-017-0503-4 |
