Test performance metrics for the final model. حسب Ramona Leenings (11167294)

Comparison with SOTA model in number of iterations and final cost. حسب Zixi Wang (459102)

Matlab code of a version using numerical optimization for Q. حسب Hiroko Kato Solvang (5718250)

R code for a version using numerical optimization for Q. حسب Hiroko Kato Solvang (5718250)

Overall rankings of optimization algorithms. حسب Máté Mohácsi (20469514)

HGSAA model’s partial calculation code. حسب Ruoqi Wang (14958062)

Node coding process. حسب Jun Zhao (59250)

Codes and related data. حسب Bo Ni (1298154)

Overall rankings of single-objective optimization algorithms. حسب Máté Mohácsi (20469514)

Parallel plot showing hyperparameter exploration. حسب Ramona Leenings (11167294)

IKM Pseudo – code. حسب Yingbo Mao (22522192)

S1 Code - حسب Gaosha Li (20570760)

Code and raw data used in this study. حسب Zhuolin Yang (14658411)

I-NSGA-II-RF algorithm. حسب Xiaohua Zeng (793632)

"…The integrated information initialization population of two filtered feature selection methods is used to optimize the I-NSGA-II algorithm, using multiple chromosome hybrid coding to synchronously select features and optimize model parameters. …"

The pareto front obtained by each algorithm. حسب Xiaohua Zeng (793632)

"…The integrated information initialization population of two filtered feature selection methods is used to optimize the I-NSGA-II algorithm, using multiple chromosome hybrid coding to synchronously select features and optimize model parameters. …"

Pseudo-code of MACOA. حسب Xingtao Wu (22139242)

Pseudo-code for the study design model. حسب Jianpeng Zhang (528185)

The speciation of ANEAT model evolution. حسب Wenbing Shi (5806160)

"…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …"

The fitness of ANEAT model evolution. حسب Wenbing Shi (5806160)

"…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …"

The fitness of NANEAT model evolution. حسب Wenbing Shi (5806160)

"…In the experiment, we verify the effectiveness of ANEAT from multiple aspects such as data augmentation effectiveness analysis, deep learning model comparison, swarm intelligence optimization algorithm comparison, and other method comparisons. …"