Proceedings Paper
The design and implementation of MPI master-slave parallel genetic algorithm| Format | Member Price | Non-Member Price |
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Paper Abstract
In this paper, the MPI master-slave parallel genetic algorithm is implemented by analyzing the basic genetic algorithm and parallel MPI program, and building a Linux cluster. This algorithm is used for the test of maximum value problems (Rosen brocks function) .And we acquire the factors influencing the master-slave parallel genetic algorithm by deriving from the analysis of test data. The experimental data shows that the balanced hardware configuration and software design optimization can improve the performance of system in the complexity of the computing environment using the master-slave parallel genetic algorithms.
Paper Details
Date Published: 20 March 2013
PDF: 7 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876810 (20 March 2013); doi: 10.1117/12.2010734
Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)
PDF: 7 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876810 (20 March 2013); doi: 10.1117/12.2010734
Show Author Affiliations
Shuping Liu, North China Electric Power Univ. (China)
Yanliu Cheng, North China Electric Power Univ. (China)
Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)
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