Kei Nishihara
Kei Nishihara
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Competitively Adaptive Algorithm Tuning inspired by Equilibrium Theory
Kei Nishihara
,
Masaya Nakata
December 2019
PDF
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Link (Conference)
Type
Not refereed National Conference Paper
Publication
JPNSEC Symposium on Evolutionary Computation
, pp. 37–44 (in Japanese)
Notice
All materials on this page are author’s versions, not necessarily coincide with final published versions.
Adaptive Differential Evolution
Kei Nishihara
3rd-year Doctoral Student
My research interests include evolutionary computation and swarm intelligence.
Related
Emulation-based adaptive differential evolution: fast and auto-tunable approach for moderately expensive optimization problems
Our paper has been accepted to CAIS
FAN2021 Report
High-level Ensemble of Adaptive Differential Evolution with Prior-validation toward Computationally Expensive Optimization Problems
FAN 2021 Online
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