Parallel global optimization with the particle swarm algorithm

Present day engineering optimization problems often impose large computational demands, resulting in long solution times even on a modern high‐end processor. To obtain enhanced computational throughput and global search capability, we detail the coarse‐grained parallelization of an increasingly popu...

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Bibliographic Details

Published in:	International journal for numerical methods in engineering Vol. 61; no. 13; pp. 2296 - 2315
Main Authors:	Schutte, J. F., Reinbolt, J. A., Fregly, B. J., Haftka, R. T., George, A. D.
Format:	Journal Article
Language:	English
Published:	Chichester, UK John Wiley & Sons, Ltd 07.12.2004
Subjects:	cluster computing parallel global optimization particle swarm
ISSN:	0029-5981, 1097-0207
Online Access:	Get full text
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