Parameter settings for metaheuristic algorithm. حسب Yanzhao Gu (21192659)

الموضوعات:

Scheduling time of five algorithms. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

Convergence speed of five algorithms. حسب Huichao Guo (14515171)

"…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms حسب Saadiallakh Normatov (20682324)

Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms حسب Saadiallakh Normatov (20682324)

Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Box plots of different algorithms on CEC2017 functions (dim = 30,100) and CEC2022 functions (dim = 20). حسب Qingwen Meng (156386)

الموضوعات:

The benchmark functions. حسب Shuhui Yu (1535500)

Throughput normalization comparison of several algorithms under different transmission conditions. حسب Ziyang Xing (22683634)

Comparison of algorithms across metrics in test problems. حسب Jihui Hu (19812736)

الموضوعات:

The inversion results and curve of the objective function of the G-type geoelectric model. حسب Zhengyu Xu (8550660)

The inversion results and curve of the objective function of the AQ-type geoelectric model. حسب Zhengyu Xu (8550660)

The inversion results and curve of the objective function of the H-type geoelectric model. حسب Zhengyu Xu (8550660)

Convergence curves of the investigated algorithms. حسب Ziad M. Ali (12516532)

الموضوعات:

Distribution of cross correlations in functional connectivity in ABIDE sample. حسب Alexandria M. Jensen (6494957)

الموضوعات:

DE algorithm flow. حسب Ling Zhao (111365)

"…The model characterizes room functions and spatial locations through binary coding, and uses dynamic fitness function and backtracking strategy to improve space utilization and functional fitness. …"

Performance comparison of different mainstream algorithms. حسب Haisong Xu (141729)

Overall effectiveness of GWOA and other algorithms. حسب Yanzhao Gu (21192659)

الموضوعات:

Iteration curves for comparison of different algorithms. حسب Yanzhao Gu (21192659)

الموضوعات:

Flowchart of MOSRS algorithm. حسب Vahid Goodarzimehr (21343124)

"…<div><p>Multi-objective optimization stands at the intersection of mathematics, engineering, and decision-making, and metaheuristics offer a promising avenue for tackling such challenges. The literature shows they are the best, and there is space for new algorithms to deliver Pareto Fronts (PFs) with more convergence and coverage at lower computational costs. …"