Improved particle swarm optimization algorithm with random mutation and perception
Improved particle swarm optimization algorithm with random mutation and perception
About this item
Full title
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Publisher
Xi'an: EDP Sciences
Journal title
Language
Chinese
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Publisher
Xi'an: EDP Sciences
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Contents
Since traditional particle swarm optimization(PSO) is prone to premature phenomenon when solving complex functions in high-dimensional space, a particle swarm optimization algorithm with random variation and dynamic perception factors in terms of the movement laws and dispersion characteristics of particles in space is proposed. In order to encoura...
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Full title
Improved particle swarm optimization algorithm with random mutation and perception
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TN_cdi_doaj_primary_oai_doaj_org_article_be2e95144ac14380a85292c76419e2c8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_be2e95144ac14380a85292c76419e2c8
Other Identifiers
ISSN
1000-2758
E-ISSN
2609-7125
DOI
10.1051/jnwpu/20234120428
