An experimental evaluation of a parallel genetic algorithm using MPI

被引：0

作者：

Hadjikyriacou, E. ^{[1
]}

Samaras, N. ^{[1
]}

Margaritis, K. ^{[1
]}

机构：

[1] Univ Macedonia, Dept Appl Informat, Thessaloniki, Greece

来源：

13TH PANHELLENIC CONFERENCE ON INFORMATICS, PROCEEDINGS | 2009年

关键词：

Genetic Algorithms; Parallel Algorithms; Parallel Processing; Distributed Computing;

D O I：

10.1109/PCI.2009.38

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The aim of this paper is to present an experimental evaluation of a parallel genetic algorithm using MPI. The performance of the algorithm is verified by computational experiments on a real world data set, ran in a cluster of workstations. MPI seems to be appropriate for these kind of experiments as the results are reliable and efficient.

引用

页码：75 / 79

页数：5

共 13 条

[1] Analyzing synchronous and asynchronous parallel distributed genetic algorithms [J].

Alba, E ;

Troya, JM .

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2001, 17 (04) :451-465

[2]

[Anonymous], 2010, UCI Machine Learning Repository

[3]

Bozejko W, 2004, LECT NOTES COMPUT SC, V3019, P566

[4]

CANTUPAZ E, 1997, 97003 ILLGAL U ILL

[5]

Cattral Robert, 2002, Recent Advances in Computers, Computing and Communications, V1, P296

[6]

FLOCKHART IW, 1996, P 2 INT C KNOWL DISC, P299

[7] GENETIC ALGORITHMS - PRINCIPLES OF NATURAL-SELECTION APPLIED TO COMPUTATION [J].

FORREST, S .

SCIENCE, 1993, 261 (5123) :872-878

[8]

Golberg DE., 1989, Choice Reviews Online, V1989, P36, DOI DOI 10.5860/CHOICE.27-0936

[9]

Holland J., 1975, Adaptation in Natural and Artificial Systems, DOI 10.7551/mitpress/1090.001.0001

[10]

Kokosinski Z, 2004, LECT NOTES COMPUT SC, V3036, P215

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