Performance Analysis of Artificial Bee Colony Algorithm on ARM Based Mobile Platform

被引：0
|
作者：
Aslan, Selcuk [1 ]
Karaboga, Dervis [2 ]
Aksoy, Alperen [3 ]
机构：
[1] Ondokuz Mayis Univ, Muhendisl Fak, Bilgisayer Muhendisligi Bolumu, Kurupelit, Turkey
[2] Erciyes Univ, Muhendisl Fak, Bilgisayer Muhendisligi Bolumu, Kayseri, Turkey
[3] Alanya Alaaddin Keykubat Univ, Muhendisl Fak, Bilgisayer Muhendisligi Bolumu, Alanya, Turkey
来源：
2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK) | 2017年
关键词：
swarm intelligence; Artificial Bee Colony algorithm; parallelization; mobile platform;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Improved mobile devices have the computational power and software support for processing complex algorithmic expressions with the similar execution time when compared to the conventional processors. In this study, we investigated both serial and parallel implementations of Artificial Bee Colony (ABC) algorithm that is one of the most important swarm intelligence based algorithms by solving different types of numerical problems on a mobile platform. Experimental studies showed that serial and parallel implementations of ABC algorithm are suitable for execution on mobile processors and there is a correspondence between the final solutions obtained by ABC algorithm on a mobile processor and the final solutions obtained by ABC algorithm on a conventional processor.
引用
收藏
页码：155 / 159
页数：5
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