Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/31124
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Ghasemi M | - |
dc.contributor.author | Rahimnejad A | - |
dc.contributor.author | Hemmati R | - |
dc.contributor.author | Akbari E | - |
dc.contributor.author | Gadsden SA | - |
dc.date.accessioned | 2025-02-27T14:27:46Z | - |
dc.date.available | 2025-02-27T14:27:46Z | - |
dc.date.issued | 2021-09 | - |
dc.identifier.issn | 2590-0056 | - |
dc.identifier.uri | http://hdl.handle.net/11375/31124 | - |
dc.publisher | Elsevier | - |
dc.subject | 46 Information and Computing Sciences | - |
dc.subject | 4602 Artificial Intelligence | - |
dc.title | Wild Geese Algorithm: A novel algorithm for large scale optimization based on the natural life and death of wild geese | - |
dc.type | Article | - |
dc.date.updated | 2025-02-27T14:27:46Z | - |
dc.contributor.department | Mechanical Engineering | - |
dc.identifier.doi | https://doi.org/10.1016/j.array.2021.100074 | - |
Appears in Collections: | Mechanical Engineering Publications |
Files in This Item:
File | Description | Size | Format | |
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057-1-s2.0-S2590005621000229-main.pdf | Published version | 826.14 kB | Adobe PDF | View/Open |
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