Kei Nishihara
Kei Nishihara
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Quasi-Newton Method
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
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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
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