Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

Subjects:

Different algorithms in 23 benchmark functions to obtain partial boxplot. by Yuqi Xiong (12343771)

“…<p>Different algorithms in 23 benchmark functions to obtain partial boxplot.…”

Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

Results obtained by different algorithms on 23 benchmark functions. by Yuqi Xiong (12343771)

“…<p>Results obtained by different algorithms on 23 benchmark functions.…”

Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

Convergence curves obtained by different algorithms on 23 benchmark functions. by Yuqi Xiong (12343771)

“…<p>Convergence curves obtained by different algorithms on 23 benchmark functions.…”

Results obtained by different algorithms on CEC2022 benchmark functions. by Yuqi Xiong (12343771)

“…<p>Results obtained by different algorithms on CEC2022 benchmark functions.…”

Convergence curves obtained by different algorithms on CEC2022 benchmark functions. by Yuqi Xiong (12343771)

“…<p>Convergence curves obtained by different algorithms on CEC2022 benchmark functions.…”

The obtained cost function values with respect to each run of different algorithms. by Davut Izci (15927452)

“…<p>The obtained cost function values with respect to each run of different algorithms.…”

Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. by Kevin Sawade (16726527)

“…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…”

The obtained results for unimodal test functions. by Mohammad H. Nadimi-Shahraki (14322248)

The obtained results for hybrid test functions. by Mohammad H. Nadimi-Shahraki (14322248)

The obtained results for composition test functions. by Mohammad H. Nadimi-Shahraki (14322248)

Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

The obtained results for simple multimodal test functions. by Mohammad H. Nadimi-Shahraki (14322248)

Comparison of results obtained by different algorithms for solving EELD. by Wenjing Wang (181404)

Comparison of results obtained by different algorithms for solving EELD. by Wenjing Wang (181404)

Obtained controller parameters via different algorithms. by Sarah A. Alzakari (19704611)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by 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.…”