MOEA/D-GLS: a multiobjective memetic algorithm using decomposition and guided local search
MOEA/D-GLS: a multiobjective memetic algorithm using decomposition and guided local search
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Language
English
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Contents
This paper proposes an idea of using well studied and documented single-objective optimization methods in multiobjective evolutionary algorithms. It develops a hybrid algorithm which combines the multiobjective evolutionary algorithm based on decomposition (MOEA/D) with guided local search (GLS), called MOEA/D-GLS. It needs to optimize multiple sin...
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Full title
MOEA/D-GLS: a multiobjective memetic algorithm using decomposition and guided local search
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TN_cdi_proquest_journals_2917938591
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2917938591
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ISSN
1432-7643
E-ISSN
1433-7479
DOI
10.1007/s00500-018-3524-z
