Research of Parallel Artificial Bee Colony Algorithm Based on MPI

Artificial bee colony algorithm is a smart optimization algorithm based on the bees acquisition model. A long time for the search of the artificial bee colony algorithm, in this paper we propose a parallel algorithm of artificial bee colony algorithm (MPI-ABC), with an application of a parallel prog...

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Bibliographic Details
Published in:Applied Mechanics and Materials Vol. 380-384; pp. 1430 - 1433
Main Authors: Liu, Chun Lei, Ji, Zhen Zhou, Hong, Ying Sen
Format: Journal Article
Language:English
Published: Zurich Trans Tech Publications Ltd 30.08.2013
Subjects:
Swarm Intelligence Theory
Artificial Bee Colony
Parallel Programming
MPI
ISBN:3037858206, 9783037858202
ISSN:1660-9336, 1662-7482, 1662-7482
Online Access:Get full text
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Summary:Artificial bee colony algorithm is a smart optimization algorithm based on the bees acquisition model. A long time for the search of the artificial bee colony algorithm, in this paper we propose a parallel algorithm of artificial bee colony algorithm (MPI-ABC), with an application of a parallel programming environment MPI, using the programming mode of message passing rewriting the serial algorithm in parallel. Finally, this paper compare both serial and parallel algorithm with testing on complex function optimization problems. The experimental results show that the algorithm is effective to improve the search performance, especially for high-dimensional complex optimization problem.
Bibliography:Selected, peer reviewed papers from the 2013 International Conference on Vehicle & Mechanical Engineering and Information Technology (VMEIT 2013), August 17-18, 2013, Zhengzhou, Henan, China
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISBN:3037858206
9783037858202
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.380-384.1430