The iteration curve of virtual machine 2. by Chaoze Lu (20542500)

“…Empirical results indicate that this approach is more efficient and adaptable in comparison to the Grey Wolf Optimization (GWO) Algorithm, the Simulated Annealing (SA) Algorithm, and the GWO-SA Algorithm, significantly improving both resource utilization and load balancing performance on virtual machines.…”

Containerization deployment flowchart. by Chaoze Lu (20542500)

“…Empirical results indicate that this approach is more efficient and adaptable in comparison to the Grey Wolf Optimization (GWO) Algorithm, the Simulated Annealing (SA) Algorithm, and the GWO-SA Algorithm, significantly improving both resource utilization and load balancing performance on virtual machines.…”

The iteration curve of virtual machine 1. by Chaoze Lu (20542500)

“…Empirical results indicate that this approach is more efficient and adaptable in comparison to the Grey Wolf Optimization (GWO) Algorithm, the Simulated Annealing (SA) Algorithm, and the GWO-SA Algorithm, significantly improving both resource utilization and load balancing performance on virtual machines.…”

The resource requirements of virtual machine 1. by Chaoze Lu (20542500)

“…Empirical results indicate that this approach is more efficient and adaptable in comparison to the Grey Wolf Optimization (GWO) Algorithm, the Simulated Annealing (SA) Algorithm, and the GWO-SA Algorithm, significantly improving both resource utilization and load balancing performance on virtual machines.…”

Parameter meaning for coarse-grained stages. by Chaoze Lu (20542500)

“…Empirical results indicate that this approach is more efficient and adaptable in comparison to the Grey Wolf Optimization (GWO) Algorithm, the Simulated Annealing (SA) Algorithm, and the GWO-SA Algorithm, significantly improving both resource utilization and load balancing performance on virtual machines.…”

The resource requirements of virtual machine 3. by Chaoze Lu (20542500)

“…Empirical results indicate that this approach is more efficient and adaptable in comparison to the Grey Wolf Optimization (GWO) Algorithm, the Simulated Annealing (SA) Algorithm, and the GWO-SA Algorithm, significantly improving both resource utilization and load balancing performance on virtual machines.…”

The resource requirements of virtual machine 4. by Chaoze Lu (20542500)

“…Empirical results indicate that this approach is more efficient and adaptable in comparison to the Grey Wolf Optimization (GWO) Algorithm, the Simulated Annealing (SA) Algorithm, and the GWO-SA Algorithm, significantly improving both resource utilization and load balancing performance on virtual machines.…”

The iteration curve of virtual machine 3. by Chaoze Lu (20542500)

“…Empirical results indicate that this approach is more efficient and adaptable in comparison to the Grey Wolf Optimization (GWO) Algorithm, the Simulated Annealing (SA) Algorithm, and the GWO-SA Algorithm, significantly improving both resource utilization and load balancing performance on virtual machines.…”

The optimized results of the Egypt MEDN 15-Bus. by Ahmed A. Zaki Diab (12757190)

“…The key implications of integrating RDGs include the improvement of voltage profiles and the minimization of power losses. Various optimization techniques, namely Salp Swarm Algorithm (SSA), Marine Predictor Algorithm (MPA), Grey Wolf Optimizer (GWO), Improved Grey Wolf Optimizer (IGWO), and Seagull Optimization Algorithm (SOA), have been applied to achieve optimal allocation and sizing of RDGs in radial distributed systems (RDS). …”

Overall flow chart of the model. by Yetong Fang (21433414)

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The model accuracy verification and comparison result on LendingClub Loan Data and German Credit Data. by Yetong Fang (21433414)

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Model efficiency verification comparison chart of different indicators of different models. by Yetong Fang (21433414)

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Comparative experimentson the GWO module utilizing across Taiwan Credit Default Data and Home Credit Default Risk Data. The evaluation metrics include Parameters (M), Floating Poin... by Yetong Fang (21433414)

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Visualization results of ablation experiments in GWO model. by Yetong Fang (21433414)

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The model accuracy verification and comparison result on Taiwan Credit Default Data and Home Credit Default Risk Data. by Yetong Fang (21433414)

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Flow chart of the BiGRU model. by Yetong Fang (21433414)

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Comparative analysis of model accuracy validation metrics across various models. by Yetong Fang (21433414)

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The Model efficiency verification and comparison result on Taiwan Credit Default Data and Home Credit Default Risk Data. by Yetong Fang (21433414)

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Comparative experimentson the GWO module utilizing across LendingClub Loan Data and German Credit Data. The evaluation metrics include Parameters (M), Floating Point Operations (FL... by Yetong Fang (21433414)

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Flow chart of the CNN model. by Yetong Fang (21433414)

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