Research on Reactive Power Optimization Based on Hybrid Osprey Optimization Algorithm
Research on Reactive Power Optimization Based on Hybrid Osprey Optimization Algorithm
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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This paper presents an improved osprey optimization algorithm (IOOA) to solve the problems of slow convergence and local optimality. First, the osprey population is initialized based on the Sobol sequence to increase the initial population’s diversity. Second, the step factor, based on Weibull distribution, is introduced in the osprey position upda...
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Full title
Research on Reactive Power Optimization Based on Hybrid Osprey Optimization Algorithm
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TN_cdi_doaj_primary_oai_doaj_org_article_2cc157362b3a4a419acfe1a65dc8cc58
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2cc157362b3a4a419acfe1a65dc8cc58
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ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en16207101
