Distribution of demand points by level. حسب Junjie He (700642)

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Accuracy and average dots covered for difficulty level 11 using gradient descent to find the optimal solution. حسب Tarun Khajuria (12117309)

Results of machine learning algorithm. 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 paths obtained by 5 algorithms in 6 experiments. حسب Ying Li (38224)

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Best paths obtained by 5 algorithms in 6 experiments. حسب Ying Li (38224)

الموضوعات:

Best paths obtained by 5 algorithms in 6 experiments. حسب Ying Li (38224)

الموضوعات:

Best paths obtained by 5 algorithms in 6 experiments. حسب Ying Li (38224)

الموضوعات:

Best paths obtained by 5 algorithms in 6 experiments. حسب Ying Li (38224)

الموضوعات:

Best paths obtained by 5 algorithms in 6 experiments. حسب Ying Li (38224)

الموضوعات:

Best paths obtained by 5 algorithms in 6 experiments. حسب Ying Li (38224)

الموضوعات:

Best paths obtained by 5 algorithms in 6 experiments. حسب Ying Li (38224)

الموضوعات:

Best paths obtained by 5 algorithms in 6 experiments. حسب Ying Li (38224)

الموضوعات:

Best paths obtained by 5 algorithms in 6 experiments. حسب Ying Li (38224)

الموضوعات:

Genetic Algorithm (GA) and CAGE-based personalization block diagrams. حسب Dmitrii Smirnov (8822324)

"…<p>(<b>A</b>) Genetic algorithm schematic diagram. Initially a set of organisms is generated, each of which is determined by a random vector of scaling factors for optimized model parameters (step 1). …"

Plot of coverage attenuation function. حسب Junjie He (700642)

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Objective function values and CPU times of the considered solution approaches. حسب Yangjun Ren (17691912)

Objective function values and CPU times of the considered solution approaches. حسب Yangjun Ren (17691912)

ROC comparison of machine learning algorithm. 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. …"

Evolution of objective function. حسب Serdar Ekinci (15927455)

"…Therefore, this study introduces a novel approach to AVR control, aiming to enhance robustness and efficiency. A custom optimizer, the quadratic wavelet-enhanced gradient-based optimization (QWGBO) algorithm, is developed. …"

Algorithm flowchart. حسب Wang Xiang (5435141)

"…After determining the functional relationship between the control intensity and the number of tourists and the cumulative number of confirmed cases, the NSGA-II algorithm is employed to perform multi-objective optimization with consideration of the requirements for epidemic prevention and control and for economic development to get an appropriate traffic control intensity and suggest scientific traffic control measures. …"