Effectiveness of RWOA and other SOTA algorithms. by Junhao Wei (6816803)

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Optimization process of BO algorithm. by Hoa Thi Trinh (20347834)

“…Therefore, this study exploits machine learning techniques, specifically the hybrid XGBoost model combined with optimization algorithms, to predict the shear strength of RC walls based on model training from available experimental results. …”

Firefly optimization algorithm flowchart. by Zhengyu Xu (8550660)

“…The particle swarm optimization (PSO) algorithm and firefly algorithm (FA) were successful swarm intelligence algorithms inspired by nature. …”

RMSE comparison of different algorithms in the TUM dataset 3_structure_texture_near. by Gaochao Yang (18458505)

Trajectory comparison of different algorithms in the TUM dataset 3_structure_texture_near. by Gaochao Yang (18458505)

The complete structure of Kalman filter algorithm. by Junaid Khan (4276162)

Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. by Alexandria M. Jensen (6494957)

Iteration curves of the algorithms in pressure vessel design. by Junhao Wei (6816803)

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Comparative results of each algorithm in comparative experiment. by Junhao Wei (6816803)

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Result of non-parametric tests of different algorithms. by Junhao Wei (6816803)

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Iteration curves of the algorithms in I-beam design. by Junhao Wei (6816803)

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Iteration curves of the algorithms in reactor network design. by Junhao Wei (6816803)

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Iteration curves of the algorithms in piston lever design. by Junhao Wei (6816803)

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Iteration curves of the algorithms in cantilever beam design. by Junhao Wei (6816803)

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Iteration curves of different algorithms in comparison experiment. by Junhao Wei (6816803)

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Iteration curves of the algorithms in speed reducer design. by Junhao Wei (6816803)

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The three-layer pyramid structure of particle swarm. by Jiaqi Ma (773451)

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The structure of an I-beam. by Junhao Wei (6816803)

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Structure diagram of ResNet50. by Huan Liu (281351)

The structure for the FNN. by Jiaqing Huang (5018492)

“…The objective is to improve the classification of bank-related risks by integrating the adaptability of fuzzy logic with the global optimization capability of genetic algorithms. The GA is used to fine-tune the structure, membership functions, and parameters of the FNN to improve predictive performance. …”