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Hybridization of Particle Swarm Optimization with adaptive genetic algorithm operators

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Date

2014

Authors

Masrom, Suraya
Moser, Irene
Montgomery, James
Abidin, Siti Zaleha Zainal
Omar, Nasiroh

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Abstract

Particle Swarm Optimization (PSO) is a popular algorithm used extensively in continuous optimization. One of its well-known drawbacks is its propensity for premature convergence. Many techniques have been proposed for alleviating this problem. One of the

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Keywords

Citation

URI

http://hdl.handle.net/1885/76615

Collections

ANU Research Publications

Source

International Conference on Intelligent Systems Design and Applications, ISDA

Type

Conference paper

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/ISDA.2013.6920726

Restricted until

2037-12-31

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01_Masrom_Hybridization_of_Particle_2014.pdf (616.41 KB)

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