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An adaptive hybrid differential evolution algorithm for continuous optimization and classification p...

An adaptive hybrid differential evolution algorithm for continuous optimization and classification p...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2560162362

An adaptive hybrid differential evolution algorithm for continuous optimization and classification problems

About this item

Full title

An adaptive hybrid differential evolution algorithm for continuous optimization and classification problems

Publisher

London: Springer London

Journal title

Neural computing & applications, 2021-09, Vol.33 (17), p.10841-10867

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

Differential evolution (DE) is recognized as a simplistic yet robust evolutionary algorithm: it has been utilized to tackle different challenging optimization problems in various science and engineering disciplines. DE has some disadvantages, such as premature convergence and slow convergence rate, leading to the worst DE execution arrangement. Two...

Alternative Titles

Full title

An adaptive hybrid differential evolution algorithm for continuous optimization and classification problems

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2560162362

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2560162362

Other Identifiers

ISSN

0941-0643

E-ISSN

1433-3058

DOI

10.1007/s00521-021-06216-y

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