<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب Morgan Najera (21540776)

"…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…"

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz حسب Faizan Ali (21689861)

الموضوعات:

Test functions. حسب Kejia Liu (5699651)

"…An extensive evaluation of DGEP occurred through symbolic regression problem tests. The study employed traditional benchmark functions and conducted evaluations versus baselines Standard GEP, NMO-SARA, and MS-GEP-A to assess fitness outcomes, R² values, population diversification, and the avoidance of local optima. …"

Reward function related parameters. حسب Honglei Pang (22693724)

الموضوعات:

The convergence curves of the test functions. حسب Ruiyu Zhan (21602031)

"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"

Test results of multimodal benchmark functions. حسب Ruiyu Zhan (21602031)

"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"

Test results of multimodal benchmark functions. حسب Ruiyu Zhan (21602031)

"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"

Fitness comparison on test function. حسب Kejia Liu (5699651)

"…An extensive evaluation of DGEP occurred through symbolic regression problem tests. The study employed traditional benchmark functions and conducted evaluations versus baselines Standard GEP, NMO-SARA, and MS-GEP-A to assess fitness outcomes, R² values, population diversification, and the avoidance of local optima. …"

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

الموضوعات:

R-squared comparison of test function. حسب Kejia Liu (5699651)

"…An extensive evaluation of DGEP occurred through symbolic regression problem tests. The study employed traditional benchmark functions and conducted evaluations versus baselines Standard GEP, NMO-SARA, and MS-GEP-A to assess fitness outcomes, R² values, population diversification, and the avoidance of local optima. …"

Multimodal test functions. حسب HaoCheng Wang (6089567)

Unimodal test functions. حسب HaoCheng Wang (6089567)

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

الموضوعات:

SP results of algorithms in the CEC 2009 test functions. حسب Vahid Goodarzimehr (21343124)

"…<p>SP results of algorithms in the CEC 2009 test functions.</p>…"

Convergence curves of various algorithms under test functions. حسب Jiayuan Wang (3765376)

"…<p>Convergence curves of various algorithms under test functions.</p>…"

MS results of algorithms in the CEC 2009 test functions. حسب Vahid Goodarzimehr (21343124)

"…<p>MS results of algorithms in the CEC 2009 test functions.</p>…"

Convergence curves of various algorithms under test functions. حسب Jiayuan Wang (3765376)

"…<p>Convergence curves of various algorithms under test functions.</p>…"

ANOVA tests for Benchmark functions. حسب Yu Liu (6938)

"…CEC2021 and 23 benchmark functions are used to test the effectiveness and feasibility of the CTCMKT. …"

ANOVA was performed to test the differences between the algorithms for each indicator. حسب Jihui Hu (19812736)

الموضوعات:

Fixed multimodal test functions. حسب HaoCheng Wang (6089567)