Kei Nishihara
Kei Nishihara
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Surrogate-assisted Evolutionary Algorithm using Solution Update Performance as a Selection Criterion
Kei Nishihara
,
Masaya Nakata
December 2022
BibTeX
Link (Conference)
Type
Not refereed National Conference Paper
Publication
JPNSEC Symposium on Evolutionary Computation
, pp. 177–184 (in Japanese)
Notice
Nishihara got the
IEEE CIS Young Researchers Award
and
Presentation Award
at the same time.
All materials on this page are author’s versions, not necessarily coincide with final published versions.
Surrogate-assisted Evolutionary Algorithm
Adaptation of Surrogate
Radial Basis Function Network
Gaussian Process
Differential Evolution
Kei Nishihara
3rd-year Doctoral Student
My research interests include evolutionary computation and swarm intelligence.
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