PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization

Duan, Q Zhou, G Shao, C

Wang, Z Feng, M Yang, Y Zhao, Q Shi, Y

Permalink

Open Access

Copyright Clearance Process

This item is open access.

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Duan, Q
dc.contributor.author	Zhou, G
dc.contributor.author	Shao, C https://orcid.org/0000-0002-1065-3537
dc.contributor.author	Wang, Z
dc.contributor.author	Feng, M
dc.contributor.author	Yang, Y
dc.contributor.author	Zhao, Q
dc.contributor.author	Shi, Y
dc.date.accessioned	2023-02-10T01:19:47Z
dc.date.available	2023-02-10T01:19:47Z
dc.date.issued	2022-12-12
dc.identifier.citation	2022
dc.identifier.uri	http://hdl.handle.net/10453/166029
dc.language	en
dc.rights	info:eu-repo/semantics/openAccess
dc.title	PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
dc.type	preprint
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2023-02-10T01:19:46Z

Please use this identifier to cite or link to this item: