CPU runtime of each algorithm: (a) Running Time Comparison of Different Algorithms on F1-F10 and (b) Running Time Comparison of Different Algorithms on F11-F20. حسب Ruyi Dong (9038174)

الموضوعات: "…dimensional benchmark functions…"

Convergence curve of unimproved fitness function. حسب Ziwei Wu (11386352)

Convergence curve of PID fitness function. حسب Ziwei Wu (11386352)

Improved fitness function convergence curve. حسب Ziwei Wu (11386352)

Convergence curve of LADRC fitness function. حسب Ziwei Wu (11386352)

Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network حسب Rajesh Kumar Thangavel (20591164)

"…To execute this, the input image is pre-processed using Multivariate Fast Iterative Filtering (MFIF) and it reduces the occurrence of over-fitting from the collected dataset; then feature extraction using Self-Supervised Nonlinear Transform (SSNT) to extract essential features like model, shape, and intensity. …"

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

"…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. …"

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

"…A scheduling optimization model based on the particle swarm optimization (PSO) algorithm is proposed. In view of the high-dimensional complexity and local optimal problems, the neighborhood adaptive constrained fractional particle swarm optimization (NACFPSO) algorithm is used to solve it. …"

Experience distribution diagram of patient survival time and distribution function diagrams of various models function plot of GIED. حسب Qin Gong (118801)

الموضوعات:

Comparison of classification accuracy across different machine learning models using the objective function metric. حسب Amal H. Alharbi (21755906)

CEC2022 benchmark function experiment results(dim = 20). حسب Qingwen Meng (156386)

الموضوعات:

CEC2017 benchmark function experiment results(dim = 30). حسب Qingwen Meng (156386)

الموضوعات:

CEC2017 benchmark function experiment results(dim = 100). حسب Qingwen Meng (156386)

الموضوعات:

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. حسب Yuanchen Zhao (12905580)

الموضوعات:

Membership functions for the input variable " Distance to sink". حسب Shayesteh Tabatabaei (12280016)

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. …"

WSN optimized by different algorithms. حسب Qingwen Meng (156386)

الموضوعات:

Compare algorithm parameter settings. حسب Qingwen Meng (156386)

الموضوعات:

Flowchart of the general algorithm for one trial. حسب Junying Wang (509009)

Functional module diagram. حسب Fan Hongxia (21029673)

الموضوعات: "…artificial intelligence algorithms…"