Operation curve comparison among the EITO algorithms. حسب Yunhu Huang (21402795)

الموضوعات:

Optimum tuning of the dependent variables for various cases using the HFPSO technique (standard IEEE 30-bus test network). حسب Abdullah Khan (377292)

الموضوعات:

Evaluation of the solutions gained for voltage stability enhancement (Standard IEEE 30-bus test system). حسب Abdullah Khan (377292)

الموضوعات:

Comparison of the results obtained for active power losses reduction (Standard IEEE 30-bus test system). حسب Abdullah Khan (377292)

الموضوعات:

Assessment of the solutions achieved for total fuel cost reduction (Standard IEEE 30-bus test system). حسب Abdullah Khan (377292)

الموضوعات:

Comparison of the solutions obtained for reactive power losses minimization (Standard IEEE 30-bus test system). حسب Abdullah Khan (377292)

الموضوعات:

The flowchart demonstrates the application of the HFPSO method for OPF problems. حسب Abdullah Khan (377292)

الموضوعات:

Examination of the solutions gained for voltage profile improvement (Standard IEEE 30-bus test system). حسب Abdullah Khan (377292)

الموضوعات:

QSAR model for predicting neuraminidase inhibitors of influenza A viruses (H1N1) based on adaptive grasshopper optimization algorithm حسب Z.Y. Algamal (5547620)

"…Obtaining a reliable QSAR model with few descriptors is an essential procedure in chemometrics. The binary grasshopper optimization algorithm (BGOA) is a new meta-heuristic optimization algorithm, which has been used successfully to perform feature selection. …"

Operation curve comparison among the five algorithms in the 95 s trip. حسب Yunhu Huang (21402795)

الموضوعات:

Operation curve comparison among the five algorithms in the 115 s trip. حسب Yunhu Huang (21402795)

الموضوعات:

Operation curve comparison among the five algorithms in the 101s trip. حسب Yunhu Huang (21402795)

الموضوعات:

Best optimizer results of Lightbgm. حسب Balraj Preet Kaur (20370832)

"…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

Best optimizer results of Adaboost. حسب Balraj Preet Kaur (20370832)

"…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

Best optimizer results of Lightbgm. حسب Balraj Preet Kaur (20370832)

"…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

Random forest with hyperparameter optimization. حسب Balraj Preet Kaur (20370832)

"…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

Best optimizer results of KNN. حسب Balraj Preet Kaur (20370832)

"…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

Best optimizer results of KNN. حسب Balraj Preet Kaur (20370832)

"…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"

The losses of the training process before and after the optimization of loss function. حسب Peihan Wen (6324315)

Best optimizer results of Decision tree. حسب Balraj Preet Kaur (20370832)

"…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"