A novel particle swarm optimization based on hybrid-learning model
A novel particle swarm optimization based on hybrid-learning model
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Publisher
United States: AIMS Press
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Language
English
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Publisher
United States: AIMS Press
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Contents
The convergence speed and the diversity of the population plays a critical role in the performance of particle swarm optimization (PSO). In order to balance the trade-off between exploration and exploitation, a novel particle swarm optimization based on the hybrid learning model (PSO-HLM) is proposed. In the early iteration stage, PSO-HLM updates t...
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Full title
A novel particle swarm optimization based on hybrid-learning model
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TN_cdi_doaj_primary_oai_doaj_org_article_c4cb3c79c1464c32b0d3a56ba38057a5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c4cb3c79c1464c32b0d3a56ba38057a5
Other Identifiers
ISSN
1551-0018
E-ISSN
1551-0018
DOI
10.3934/mbe.2023305
