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A comparative study of common nature‐inspired algorithms for continuous function optimization
Wang, Z.
Qin, C.
Wan, B.
Song, William Wei
Dalarna University, School of Information and Engineering, Informatics. School of Software and IoT Engineering, Jiangxi University of Finance & Economics, Nanchang, China.
ORCID iD:
0000-0003-3681-8173
2021 (English)
In:
Entropy, E-ISSN 1099-4300, Vol. 23, no 7, article id 874
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
MDPI, 2021. Vol. 23, no 7, article id 874
National Category
Control Engineering
Identifiers
URN:
urn:nbn:se:du-37853
DOI:
10.3390/e23070874
ISI:
000676563200001
PubMedID:
34356415
Scopus ID:
2-s2.0-85110872462
OAI: oai:DiVA.org:du-37853
DiVA, id:
diva2:1583233
Available from:
2021-08-05
Created:
2021-08-05
Last updated:
2023-04-14
Bibliographically approved
Open Access in DiVA
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(2000 kB)
398 downloads
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FULLTEXT01.pdf
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2000 kB
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7ccc8143b9591e0c7eb56f073565be523c91b7f3bbbf8d280a2a4376f76595e0ad1b72c8d7952f31c442b9eabc3060a41a8cf98a72e5f72151f8e61a136c1228
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Song, William Wei
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https://urn.kb.se/resolve?urn=urn:nbn:se:du-37853
Direct link
http://du.diva-portal.org/smash/record.jsf?pid=diva2:1583233
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apa
ieee
modern-language-association-8th-edition
vancouver
chicago-author-date
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apa
ieee
modern-language-association-8th-edition
vancouver
chicago-author-date
chicago-note-bibliography
Other style
More styles
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de-DE
en-GB
en-US
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nn-NO
nn-NB
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en-GB
en-US
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