Hybridization of Adaptive Differential Evolution with an Expensive Local Search Method
Hybridization of Adaptive Differential Evolution with an Expensive Local Search Method
About this item
Full title
Author / Creator
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Journal title
Language
English
Formats
Publication information
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
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Scope and Contents
Contents
Differential evolution (DE) is an effective and efficient heuristic for global optimization problems. However, it faces difficulty in exploiting the local region around the approximate solution. To handle this issue, local search (LS) techniques could be hybridized with DE to improve its local search capability. In this work, we hybridize an update...
Alternative Titles
Full title
Hybridization of Adaptive Differential Evolution with an Expensive Local Search Method
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_crossref_primary_10_1155_2016_3260940
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1155_2016_3260940
Other Identifiers
ISSN
2356-752X
E-ISSN
2314-6486
DOI
10.1155/2016/3260940
