Algorithm of genetic workup. by Idoia Martinez de Lapiscina (16528261)

Details of the metaheuristic algorithms. by Yanzhao Gu (21192659)

“…The experimental results showed that GWOA achieved better convergence speed and solution accuracy than other algorithms in most test functions, especially in multimodal and compositional optimization problems, with an Overall Efficiency (OE) value of 74.46%. …”

Backbone dimension () as a function of relative age (). by Jonathan E Kings (20818367)

Flowchart for the Tabu Search Algorithm [43]. by Ferhat Yuna (21519851)

“…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …”

Cleavage time as a function of scaled fiber diameter. by Roukayatou R. Ouedraogo (20460980)

Parameters of muti-island genetic algorithm. by Shangyang Jin (21772466)

“…Thus, a combination algorithm optimization strategy for metamaterials in terms of multiple structural parameters is proposed in this paper based on a co-simulation approach. …”

MOEA/D-ND algorithm flowchart. by Jun Sun (48981)

“…The experimental outcomes denote that on the logic function with Zener diode transistor, the proposed algorithm has a mean generation distance index of 5.03E-3, which is lower than most algorithms. …”

Changes in FID values of different algorithms. by Xiaojun Wang (50332)

“…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …”

Changes in loss values for different algorithms. by Xiaojun Wang (50332)

“…The results show that when running on the Monet2photo dataset, when the system iterates to 72 times, the loss function value of the research method approaches the target value of 0.00. …”

Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. by Abeer Aljohani (18497914)

Subjects:

Accuracy of the Random forest algorithm for different values of test samples and different choice window indexes. by Abeer Aljohani (18497914)

Subjects:

Scenarios for algorithms using IEEE 33 bus. by Bachirou Bogno (20485724)

Scenarios for algorithms using IEEE 69 bus. by Bachirou Bogno (20485724)

Steps in the proposed Apriori algorithm. by Yongkang Ding (21807539)

“…<div><p>Physical fitness refers to the health of all body functions, including cardiorespiratory endurance, muscle strength, flexibility, stamina, and body composition, which can help individuals effectively cope with daily activities and sports challenges. …”

Convergence of the Cut Value of QFMA as a function of steps for the G1 problem. by Máté Tibor Veszeli (12160786)

Comparison results of the loss functions. by Jia Li (160557)

“…To address this problem, this paper proposes a YOLOv8-based insulator defect detection algorithm, YOLOv8-SSF. …”

Loss function variation curve. by Chunhua Yang (346871)

“…<div><p>This study proposes the S-YOLOv10-ASI algorithm to improve the accuracy of tea identification and harvesting by robots, integrating a slice-assisted super-reasoning technique. …”

Flowchart of system algorithm. by Syed Zahurul Islam (9635163)

Diagram of the algorithm used during the training phase. by Ana P. Arantes (17131753)

A comparison of visual tools for the exploration of biomolecular networks. by Paolo Perlasca (9909695)