Kei Nishihara
Kei Nishihara
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Gaussian Process
GECCO 2023
The Genetic and Evolutionary Computation Conference (GECCO 2023)
Jul 15, 2023 12:00 PM — Jul 19, 2023 6:00 PM
Altis Grand Hotel, Lisbon, Portugal
PDF
CFP
ACM GECCO 2023 Report
I gave a poster presentation at The Genetic and Evolutionary Computation Conference (GECCO 2023, Altis Grand Hotel, Lisbon, Portugal, 15-19, Jul). Thank you to all those who helped make this event possible.
Kei Nishihara
Last updated on Dec 23, 2023
1 min read
Research
Utilizing the Expected Gradient in Surrogate-assisted Evolutionary Algorithms
This paper utilizes the expected gradient of the Gaussian Process (GP) in a surrogate-assisted evolutionary algorithm. Specifically, our proposal iteratively runs a quasi-Newton method (L-BFGS-B) changing initial points on multiple GPs constructed to approximate the promising region of the objective function.
Kei Nishihara
,
Masaya Nakata
PDF
BibTeX
Poster
Slides
DOI
Link (Paper)
Link (Conference)
JPNSEC Symposium on Evolutionary Computation 2022 Report
I gave a presentation at JPNSEC Symposium on Evolutionary Computation 2022 (Hokkaido University, Sapporo, 16-18, Dec.) and got IEEE CIS Japan Chapter Young Researcher Award and Presentation Award at the same time. I was also a student member of organizers for the Open Space Discussion held as a pre event. Thank you to all those who helped make this event possible.
Kei Nishihara
Last updated on Dec 23, 2023
1 min read
Research
Surrogate-assisted Evolutionary Algorithm using Solution Update Performance as a Selection Criterion
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.
Kei Nishihara
,
Masaya Nakata
BibTeX
Link (Conference)
JPNSEC Symposium on Evolutionary Computation 2022
JPNSEC Symposium on Evolutionary Computation 2022
Dec 16, 2022 1:30 PM — Dec 18, 2022 6:00 PM
Hokkaido University
CFP
BibTeX
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