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1887
4092756
The importance of landscape features for performance prediction of modular CMA-ES variants
Author(s):
Kostovska, A.; Vermetten, D.L. (
0000-0003-3040-7162
); Dzeroski, S.; Doerr, C.; Korosec, P.; Eftimov, T.
Editor(s):
Fieldsend, J.E.
Published
2022
Publication type
Article in monograph or in proceedings
Date issued
2022-08-07
Language
English
Publisher
New York: Association for Computing Machinery
Is part of
GECCO '22 (2022), p. 648-656
ISBN source
9781450392372
hdl
1887/4092756
doi
10.1145/3512290.3528832
Conference
Meeting name
GECCO '22: Genetic and Evolutionary Computation Conference
Meeting location
Boston Massachusetts, United States of America
Meeting date
2022-07-09 - 2022-07-13
Persistent identifier url
https://hdl.handle.net/1887/4092756
Documents
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Open Access