The effect of each parameter on the target functions. حسب Shangyang Jin (21772466)

The combined effect between each parameter on the target 3. حسب Shangyang Jin (21772466)

The combined effect between each parameter on the target functions. حسب Shangyang Jin (21772466)

Several loop patterns found in binary code. حسب Alba Pedro-Zapater (8600382)

Flowchart of a single epoch in the FOX optimization algorithm [10]. حسب Mahmood A. Jumaah (22272371)

Greedy optimization algorithm. حسب Alexis Bénichou (19832361)

Proposed Algorithm. حسب Hend Bayoumi (22693738)

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"

Flowchart of Jaya algorithm. حسب Ahmed M. Ewais (15213507)

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

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. …"

Comparison between FEA and experimental results [33]. حسب Shangyang Jin (21772466)

Comparison between FEA (in this work) and experimental results [33]. حسب Shangyang Jin (21772466)

Data and Parameters Selection of Jaya Algorithm. حسب Ahmed M. Ewais (15213507)

Multi-objective optimization of the geometry of single-family housing to improve thermal performance حسب Angélica Saccol Berleze (10410854)

The Pseudo-Code of the IRBMO Algorithm. حسب Chenyi Zhu (9383370)

"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"

Experiment 2: Evaluating modularity-based consensus clustering pipelines on synthetic networks based on clustered real-world networks. حسب Yasamin Tabatabaee (18095491)

IRBMO vs. meta-heuristic algorithms boxplot. حسب Chenyi Zhu (9383370)

"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"

IRBMO vs. feature selection algorithm boxplot. حسب Chenyi Zhu (9383370)

"…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …"

Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. حسب Yasamin Tabatabaee (18095491)

WLTOG: An optimization approach for wild large-range target omnidirectional geolocation based on monocular PTZ camera حسب Xinxin Zhou (8377080)

Time(s) and GFLOPs savings of single-agent tasks. حسب Hongjie Zhang (136127)

"…Subsequently, we establish optimization objectives for single-agent and multi-agents inference, incorporating cost constraints based on the IMPALA and MAPPO frameworks, respectively. …"