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An improved QPSO algorithm and its application in fuzzy portfolio model with constraints

An improved QPSO algorithm and its application in fuzzy portfolio model with constraints

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918047838

An improved QPSO algorithm and its application in fuzzy portfolio model with constraints

About this item

Full title

An improved QPSO algorithm and its application in fuzzy portfolio model with constraints

Author / Creator

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

Journal title

Soft computing (Berlin, Germany), 2021-06, Vol.25 (12), p.7695-7706

Language

English

Formats

Publication information

Publisher

Berlin/Heidelberg: Springer Berlin Heidelberg

More information

Scope and Contents

Contents

Aiming at the shortcomings of quantum-behaved particle swarm optimization algorithm (QPSO), an improved quantum-behaved particle swarm optimization algorithm (IQPSO) is put forward, and the improved algorithm is applied in solving a kind of fuzzy portfolio selection problems. Firstly, a kind of portfolio models with fuzzy return rates and backgroun...

Alternative Titles

Full title

An improved QPSO algorithm and its application in fuzzy portfolio model with constraints

Authors, Artists and Contributors

Author / Creator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2918047838

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918047838

Other Identifiers

ISSN

1432-7643

E-ISSN

1433-7479

DOI

10.1007/s00500-021-05688-3

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