The algorithm for achieving the research objectives illustrating the process of developing a mathematical model of the braking moment as a function of tire deformation. حسب Bartosz Wieczorek (8098352)

"…<p>The algorithm for achieving the research objectives illustrating the process of developing a mathematical model of the braking moment as a function of tire deformation.…"

The ALO algorithm optimization flowchart. حسب Wenjing Wang (181404)

الموضوعات:

The IALO algorithm solution flowchart. حسب Wenjing Wang (181404)

الموضوعات:

Change of ITAE objective function for en-CSA, CSA, RUN, PDO and RIME algorithms. حسب Sarah A. Alzakari (19704611)

الموضوعات:

Algorithm operation steps. حسب Junyan Wang (4738518)

"…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …"

ITAE objective function values for all runs of en-CSA, CSA, RUN, PDO and RIME algorithms. حسب Sarah A. Alzakari (19704611)

الموضوعات:

Boxplot analysis for ITAE objective function using en-CSA, CSA, RUN, PDO and RIME algorithms. حسب Sarah A. Alzakari (19704611)

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 function results. حسب Ruyi Dong (9038174)

الموضوعات: "…dimensional benchmark functions…"

Benchmark test functions. حسب Ruyi Dong (9038174)

الموضوعات: "…dimensional benchmark functions…"

Algorithm parameters. حسب Ruyi Dong (9038174)

الموضوعات: "…dimensional benchmark functions…"

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

الموضوعات:

Computation time as a function of the sample size on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

الموضوعات:

Computation time as a function of the sample size on the random graph dataset. حسب Tomokaze Shiratori (9635271)

الموضوعات:

Computation time as a function of the number of variables on the chain graph dataset. حسب Tomokaze Shiratori (9635271)

الموضوعات:

Computation time as a function of the number of variables on the random graph dataset. حسب Tomokaze Shiratori (9635271)

الموضوعات:

Benchmark test function results. حسب Ruyi Dong (9038174)

الموضوعات: "…dimensional benchmark functions…"

Iteration curve of each algorithm: (a) Convergence curves of the average best fitness for functions F1-F10, (b) Convergence curves of the average best fitness for functions F11-F20 and (c) Correspondence between curve colors and algorithms. حسب Ruyi Dong (9038174)

الموضوعات: "…dimensional benchmark functions…"

3D visualization of the Rastrigin function from the CEC 2019 benchmark test functions. حسب Mahmood A. Jumaah (22272371)

الموضوعات:

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. …"