Comparison of different optimization algorithms. حسب Hang Zhao (143592)

الموضوعات:

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score. حسب Jose Cleydson F. Silva (8685594)

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

The PF of ten comparative algorithms on the MMF12 test function. حسب Wenxing Wu (16853002)

The PF of ten comparative algorithms on the MMF14 test function. حسب Wenxing Wu (16853002)

The PF of ten comparative algorithms on the MMF1 test function. حسب Wenxing Wu (16853002)

The PS of ten comparative algorithms on the MMF1 test function. حسب Wenxing Wu (16853002)

The PS of ten comparative algorithms on the MMF14 test function. حسب Wenxing Wu (16853002)

Comparison of algorithms across metrics in test problems. حسب Jihui Hu (19812736)

الموضوعات:

The PS of ten comparative algorithms on the MMF14a Test Function. حسب Wenxing Wu (16853002)

Data and code resources. حسب Sam Hall-McMaster (10343795)

ANOVA was performed to test the differences between the algorithms for each indicator. حسب Jihui Hu (19812736)

الموضوعات:

Performance comparison of algorithms in ZDT5 and ZDT6 function tests. حسب Tao Dong (15551)

Comparison of algorithm performance in ZDT3 and ZDT4 function tests. حسب Tao Dong (15551)

Comparison of algorithm performance in ZDT1 and ZDT2 function tests. حسب Tao Dong (15551)

Wilcoxon test for MODBO and other MO competitors. حسب Wenxing Wu (16853002)

Performance indicators of various test functions in CEC2020. حسب Wenxing Wu (16853002)

BER comparison among PSM-based feedback algorithm, SBF algorithm, and perfect CSI using Monte-Carlo simulation. حسب Sarmad Sohaib (21273402)

الموضوعات:

Statistical test result. حسب Tao Dong (15551)

"…The results revealed that the improved multi-objective differential evolution algorithm in Zitzler-Deb-Thiele 1 function test had generational distance of 0.0513, inverted generational distance of 0.3265, and hyper volume metric of 0.1301. …"