IRBMO vs. meta-heuristic algorithms boxplot. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

IRBMO vs. feature selection algorithm boxplot. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

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

Results of ablation experiment. by Ning Zhao (84707)

“…Initially, the traditional PSO algorithm is enhanced by integrating the Global Evolution Dynamic Model (GEDM) into the Distribution Estimation Algorithm (EDA), constructing a weighted covariance matrix-based GEDM. …”

Training process. by Ning Zhao (84707)

“…Initially, the traditional PSO algorithm is enhanced by integrating the Global Evolution Dynamic Model (GEDM) into the Distribution Estimation Algorithm (EDA), constructing a weighted covariance matrix-based GEDM. …”

Data set parameters. by Ning Zhao (84707)

“…Initially, the traditional PSO algorithm is enhanced by integrating the Global Evolution Dynamic Model (GEDM) into the Distribution Estimation Algorithm (EDA), constructing a weighted covariance matrix-based GEDM. …”

Main contributions. by Bo Ni (1298154)

“…Then, the improved whale optimization algorithm optimizes the final weights and thresholds in the back propagation neural network. …”

The minimum data set. by Bo Ni (1298154)

“…Then, the improved whale optimization algorithm optimizes the final weights and thresholds in the back propagation neural network. …”

Codes and related data. by Bo Ni (1298154)

“…Then, the improved whale optimization algorithm optimizes the final weights and thresholds in the back propagation neural network. …”

Key hyper-parameters. by Bo Ni (1298154)

“…Then, the improved whale optimization algorithm optimizes the final weights and thresholds in the back propagation neural network. …”

Bubble-net hunting behavior. by Bo Ni (1298154)

“…Then, the improved whale optimization algorithm optimizes the final weights and thresholds in the back propagation neural network. …”

BP neural network structure diagram. by Bo Ni (1298154)

“…Then, the improved whale optimization algorithm optimizes the final weights and thresholds in the back propagation neural network. …”

The importance between 6 factors and V₀. by Bo Ni (1298154)

“…Then, the improved whale optimization algorithm optimizes the final weights and thresholds in the back propagation neural network. …”

Basic data of sixty debris flows. by Bo Ni (1298154)

“…Then, the improved whale optimization algorithm optimizes the final weights and thresholds in the back propagation neural network. …”

Curve of greedy factor with the number of iterations after the introduction of arctangent function. by Li Wang (15202)

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Curve of Chl-a concentration and fluoride concentration at time nodes 21–40. by Li Wang (15202)

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Comparison before and after the removal of Chl-a data noise. by Li Wang (15202)

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Principal component analysis table. by Li Wang (15202)

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Experimental data set. by Li Wang (15202)

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Lake eutrophication prediction flow chart with improving MIMO-DD-3Q Learning. by Li Wang (15202)

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