Parameter settings for algorithms. by Guangwei Liu (181992)

“…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”

Parameter settings for algorithms. by Guangwei Liu (181992)

“…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”

Average runtime of different algorithms. by Guangwei Liu (181992)

“…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”

Average runtime of different algorithms. by Guangwei Liu (181992)

“…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”

Flowchart of GJO-GWO algorithm. by Guangwei Liu (181992)

“…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …”

Case 2: PADR with load scheduling. by Hisham Alghamdi (20114096)

Case 1: PADR evaluation without scheduling. by Hisham Alghamdi (20114096)

Case 2: Hourly scheduled load profile. by Hisham Alghamdi (20114096)

Large-scale dataset comparative analysis using computation resources. by Olaide N. Oyelade (14047002)

Medium-scale dataset comparative analysis using computation resources. by Olaide N. Oyelade (14047002)

Small-scale dataset comparative analysis using computation resources. by Olaide N. Oyelade (14047002)

Case 1: Total electricity bill without scheduling. by Hisham Alghamdi (20114096)

Case 2: Total electricity bill with load scheduling. by Hisham Alghamdi (20114096)

Case 2: Hourly electricity bill with load scheduling. by Hisham Alghamdi (20114096)

Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

“…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …”

Case 2: Consumer comfort in terms of waiting time with scheduling. by Hisham Alghamdi (20114096)

Case 1: Hourly electricity bill minimization without scheduling. by Hisham Alghamdi (20114096)

Case 1: Hourly load distribution among utility, SPVE, and SPVE with storage batteries without scheduling. by Hisham Alghamdi (20114096)

Proposed Algorithm. by Hend Bayoumi (22693738)

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”

Comparisons between ADAM and NADAM optimizers. by Hend Bayoumi (22693738)

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”