MATEC Web Conf.
Volume 76, 201620th International Conference on Circuits, Systems, Communications and Computers (CSCC 2016)
|Number of page(s)||7|
|Published online||21 October 2016|
A time performance comparison of particle swarm optimization in mobile devices
1 Faculty of Applied Informatics, Department of Informatics and Artificial Intelligence, Tomas Bata University in Zlín, Nad Stráněmi 4511, 76005 Zlín, Czech Republic
2 Department of Systems and Computing, Technological Institute of Celaya, Av. Tecnológico y A. García Cubas S/N, 38010, Celaya, México
a Corresponding author: firstname.lastname@example.org
This paper deals with the comparison of three implementations of Particle Swarm Optimization (PSO), which is a powerful algorithm utilized for optimization purposes. Xamarin, a cross-platform development software, was used to build a single C# application capable of being executed on three different mobile operating systems (OS) devices, namely Android, iOS, and Windows Mobile 10, with native level performance. Seven thousand tests comprising PSO evaluations of seven benchmark functions were carried out per mobile OS. A statistical evaluation of time performance of the test set running on three similar devices –each running a different mobile OS– is presented and discussed. Our findings show that PSO running on Windows Mobile 10 and iOS devices have a better performance in computation time than in Android.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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