Performance Analysis of Artificial Bee Colony Algorithm for High Dimensional Problems on ARM Based Mobile Platform Selçuk Aslan1, Alperen Aksoy2*, Melih Günay3 1Ilgisayar Mühendisliği Bölümü, Ondokuz Mayıs Üniversitesi , Samsun, Turkey 2Bilgisayar Mühendisliği Bölümü, Akdeniz Üniversitesi , Antalya, Turkey 3Bilgisayar Mühendisliği Bölümü, Akdeniz Üniversitesi , Antalya, Turkey
IEEE S. Aslan, A. Aksoy, M. Günay, "Performance Analysis of Artificial Bee Colony Algorithm for High Dimensional Problems on ARM Based Mobile Platform", SETSCI Conference Proceedings, vol. 2, pp. 93-93, 2018.
BibTeX
@INPROCEEDINGS{citation,
author = {Aslan, Selçuk and Aksoy, Alperen and Günay, Melih},
title = {Performance Analysis of Artificial Bee Colony Algorithm for High Dimensional Problems on ARM Based Mobile Platform},
year = {2018},
volume = {2},
pages = {93-93},
publisher = {SETSCI Conference Proceedings},
abstract = {The mobile processors with the increasing computational capabilities and software supports for the devices equipped by them have attracted the researchers’ attention to check whether they can be used for solving complex problems or not. In this study, a mobile device powered by an ARM® based processor is used as a test environment for Artificial Bee Colony (ABC) algorithm that is modeling intelligent foraging behaviors of real honey bees. Experimental studies for solving a set of high dimensional numerical problems with the ABC algorithm showed that serial and parallel implementations ıf the ABC algorithm can be successfully operated on the mobile device by producing similar results when compared to the serial and parallel counterparts run on a cluster containing conventional processors.
},
doi = {},
}
RIS
TY - CONF
AU - Aslan, Selçuk
AU - Aksoy, Alperen
AU - Günay, Melih
TI - Performance Analysis of Artificial Bee Colony Algorithm for High Dimensional Problems on ARM Based Mobile Platform
PY - 2018
PB - SETSCI Conference Proceedings
VL - 2
AB - The mobile processors with the increasing computational capabilities and software supports for the devices equipped by them have attracted the researchers’ attention to check whether they can be used for solving complex problems or not. In this study, a mobile device powered by an ARM® based processor is used as a test environment for Artificial Bee Colony (ABC) algorithm that is modeling intelligent foraging behaviors of real honey bees. Experimental studies for solving a set of high dimensional numerical problems with the ABC algorithm showed that serial and parallel implementations ıf the ABC algorithm can be successfully operated on the mobile device by producing similar results when compared to the serial and parallel counterparts run on a cluster containing conventional processors.
DO -
ER -
EndNote
%0 Book
%A Aslan, Selçuk
%A Aksoy, Alperen
%A Günay, Melih
%T Performance Analysis of Artificial Bee Colony Algorithm for High Dimensional Problems on ARM Based Mobile Platform
%D 2018
%I {SETSCI Conference Proceedings}
%J {SETSCI Conference Proceedings}
%V 2
%P 93-93
%D 2018
%M doi:
Open Access
Performance Analysis of Artificial Bee Colony Algorithm for High Dimensional Problems on ARM Based Mobile Platform
Selçuk Aslan1, Alperen Aksoy2*, Melih Günay3 1Ilgisayar Mühendisliği Bölümü, Ondokuz Mayıs Üniversitesi , Samsun, Turkey 2Bilgisayar Mühendisliği Bölümü, Akdeniz Üniversitesi , Antalya, Turkey 3Bilgisayar Mühendisliği Bölümü, Akdeniz Üniversitesi , Antalya, Turkey * Corresponding author: alperenaksoy@akdeniz.edu.tr
The mobile processors with the increasing computational capabilities and software supports for the devices equipped by them have attracted the researchers’ attention to check whether they can be used for solving complex problems or not. In this study, a mobile device powered by an ARM® based processor is used as a test environment for Artificial Bee Colony (ABC) algorithm that is modeling intelligent foraging behaviors of real honey bees. Experimental studies for solving a set of high dimensional numerical problems with the ABC algorithm showed that serial and parallel implementations ıf the ABC algorithm can be successfully operated on the mobile device by producing similar results when compared to the serial and parallel counterparts run on a cluster containing conventional processors.
Keywords - mobile platform, ABC algorithm, parallelization
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.
