YNU NakataLab.org
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XCS-Theory
XCS-Theory PublicLearning Optimality Theory for Accuracy-Based Learning Classifier Systems
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- X-KAN Public
X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning
YNU-NakataLab/X-KAN’s past year of commit activity - Beta4-UCS Public
Adapting Rule Representation With Four-Parameter Beta Distributions for Learning Classifier Systems
YNU-NakataLab/Beta4-UCS’s past year of commit activity - jUCS Public
A Class Inference Scheme With Dempster-Shafer Theory for Learning Fuzzy-Classifier Systems
YNU-NakataLab/jUCS’s past year of commit activity - SFA-MFDE Public
High-Dimensional Expensive Multiobjective Optimization Using a Surrogate-Assisted Multifactorial Evolutionary Algorithm
YNU-NakataLab/SFA-MFDE’s past year of commit activity - EBADE Public
Emulation-based adaptive differential evolution: fast and auto-tunable approach for moderately expensive optimization problems
YNU-NakataLab/EBADE’s past year of commit activity - SFA-DE Public
Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems
YNU-NakataLab/SFA-DE’s past year of commit activity - MCEA-D Public
Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems
YNU-NakataLab/MCEA-D’s past year of commit activity - DSEA-D Public
A Dual Surrogate-based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems
YNU-NakataLab/DSEA-D’s past year of commit activity - DR-MCEA-D Public
High-Dimensional Expensive Optimization by Classification-based Multiobjective Evolutionary Algorithm with Dimensionality Reduction
YNU-NakataLab/DR-MCEA-D’s past year of commit activity
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