The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. حسب Olaide N. Oyelade (14047002)

الموضوعات:

DE algorithm flow. حسب Ling Zhao (111365)

"…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …"

Test results of different algorithms. حسب Ling Zhao (111365)

"…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …"

MSE for ILSTM algorithm in binary classification. حسب Asmaa Ahmed Awad (16726315)

"…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …"

Parameter settings for algorithms. حسب 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. حسب 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. حسب 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. حسب 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. حسب 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. حسب Hisham Alghamdi (20114096)

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

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

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

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

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

Features selected by optimization algorithms. حسب 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. حسب Hisham Alghamdi (20114096)

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

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

Detailed information of benchmark functions. حسب 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). …"