Pinned Repositories
DR-MCEA-D
High-Dimensional Expensive Optimization by Classification-based Multiobjective Evolutionary Algorithm with Dimensionality Reduction
DSEA-D
A Dual Surrogate-based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems
EBADE
Emulation-based adaptive differential evolution: fast and auto-tunable approach for moderately expensive optimization problems
MCEA-D
Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems
SADE-ATDSC
Surrogate-assisted Differential Evolution with Adaptation of Training Data Selection Criterion
SFA-DE
Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems
XCS-Theory
Learning Optimality Theory for Accuracy-Based Learning Classifier Systems
YNU NakataLab.org's Repositories
YNU-NakataLab/DR-MCEA-D
High-Dimensional Expensive Optimization by Classification-based Multiobjective Evolutionary Algorithm with Dimensionality Reduction
YNU-NakataLab/DSEA-D
A Dual Surrogate-based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems
YNU-NakataLab/MCEA-D
Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems
YNU-NakataLab/SFA-DE
Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems
YNU-NakataLab/XCS-Theory
Learning Optimality Theory for Accuracy-Based Learning Classifier Systems
YNU-NakataLab/EBADE
Emulation-based adaptive differential evolution: fast and auto-tunable approach for moderately expensive optimization problems
YNU-NakataLab/SADE-ATDSC
Surrogate-assisted Differential Evolution with Adaptation of Training Data Selection Criterion