Research of Parallel Artificial Bee Colony Algorithm Based on MPI

DOI

10.2991/iccsee.2013.339How to use a DOI?

Keywords

swarm intelligence theory, function optimization, artificial bee colony, parallel programming, MPI

Abstract

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yingsen Hong
AU  - Zhenzhou Ji
AU  - Chunlei Liu
PY  - 2013/03
DA  - 2013/03
TI  - Research of Parallel Artificial Bee Colony Algorithm Based on MPI
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1352
EP  - 1355
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.339
DO  - 10.2991/iccsee.2013.339
ID  - Hong2013/03
ER  -