Solving Type-2 Fuzzy Distributed Hybrid Flowshop Scheduling Using an Improved Brain Storm Optimizati...
Solving Type-2 Fuzzy Distributed Hybrid Flowshop Scheduling Using an Improved Brain Storm Optimization Algorithm
About this item
Full title
Author / Creator
Li, Junqing , Li, Jiake , Zhang, Lijing , Sang, Hongyan , Han, Yuyan and Chen, Qingda
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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More information
Scope and Contents
Contents
The distributed hybrid flowshop scheduling (DHFS) problem is a common scheduling problem that has been researched in both academic and industrial fields during recent years. The uncertainty levels in realistic applications are generally too high to be represented by a deterministic value or a triangular fuzzy number (TFN) value. Considering the DHF...
Alternative Titles
Full title
Solving Type-2 Fuzzy Distributed Hybrid Flowshop Scheduling Using an Improved Brain Storm Optimization Algorithm
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Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2933373594
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2933373594
Other Identifiers
ISSN
1562-2479
E-ISSN
2199-3211
DOI
10.1007/s40815-021-01050-9
