Solving High Dimensional Problems with Artificial Bee Colony Algorithm on ARM Based Mobile Platform

被引：0
|
作者：
Aslan, Selcuk [1 ]
Aksoy, Alperen [2 ]
Gunay, Melih [2 ]
机构：
[1] Ondokuz Mayis Univ, Bilgisayar Muhendisligi Bolumu, Samsun, Turkey
[2] Akdeniz Univ, Bilgisayar Muhendisligi Bolumu, Antalya, Turkey
来源：
2019 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND DATA PROCESSING (IDAP 2019) | 2019年
关键词：
swarm intelligence; Artificial Bee Colony algorithm; parallelization; mobile platform;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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, we used a mobile device powered by an ARM based processor as a test environment for Artificial Bee Colony (ABC) algorithm that is modelling intelligent foraging behavior of real honey bees. Experimental studies conducted by utilizing a set of high dimensional numeric problems showed that serial and parallel implementations of the ABC algorithm is 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.
引用
收藏
页数：6
相关论文
共 50 条
  • [1] Performance Analysis of Artificial Bee Colony Algorithm on ARM Based Mobile Platform
    Aslan, Selcuk
    Karaboga, Dervis
    Aksoy, Alperen
    [J]. 2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2017, : 155 - 159
  • [2] A Memetic Artificial Bee Colony Algorithm for High Dimensional Problems
    Jia, Dongli
    Li, Teng
    Zhang, Yufei
    Wang, Haijiang
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS, 2020, 19 (01)
  • [3] Velocity based artificial bee colony algorithm for high dimensional continuous optimization problems
    Imanian, Nafiseh
    Shiri, Mohammad Ebrahim
    Moradi, Parham
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2014, 36 : 148 - 163
  • [4] An Artificial Bee Colony Algorithm for Solving Dynamic Optimization Problems
    Kojima, Masataka
    Nakano, Hidehiro
    Miyauchi, Arata
    [J]. 2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2013, : 2398 - 2405
  • [5] AN ARTIFICIAL BEE COLONY ALGORITHM FOR SOLVING NURSE SCHEDULING PROBLEMS
    Sarucan, Ahmet
    Buyukozkan, Kadir
    [J]. UNCERTAINTY MODELING IN KNOWLEDGE ENGINEERING AND DECISION MAKING, 2012, 7 : 183 - 188
  • [6] A NOVEL ARTIFICIAL BEE COLONY-BASED ALGORITHM FOR SOLVING THE NUMERICAL OPTIMIZATION PROBLEMS
    Kiran, Mustafa Servet
    Gunduz, Mesut
    [J]. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2012, 8 (09): : 6107 - 6121
  • [7] An improved artificial bee colony algorithm for solving constrained optimization problems
    Liang, Yaosheng
    Wan, Zhongping
    Fang, Debin
    [J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2017, 8 (03) : 739 - 754
  • [8] Solving Multiobjective Optimization Problems Using Artificial Bee Colony Algorithm
    Zou, Wenping
    Zhu, Yunlong
    Chen, Hanning
    Zhang, Beiwei
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2011, 2011
  • [9] A MODIFICATION OF ARTIFICIAL BEE COLONY ALGORITHM FOR SOLVING INITIAL VALUE PROBLEMS
    Gunel, K.
    Gor, I
    [J]. TWMS JOURNAL OF APPLIED AND ENGINEERING MATHEMATICS, 2019, 9 (04): : 810 - 821
  • [10] An improved artificial bee colony algorithm for solving constrained optimization problems
    Yaosheng Liang
    Zhongping Wan
    Debin Fang
    [J]. International Journal of Machine Learning and Cybernetics, 2017, 8 : 739 - 754
12345