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

“…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …”

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

Subjects:

Reward function related parameters. by Honglei Pang (22693724)

Subjects:

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

Search-based testing (Genetic Algorithm) - Chapter 11 of the book "Software Testing Automation" by Saeed Parsa (13893726)

“…</p> <p><br></p> <p>3. Algorithm</p> <p>Below is the main body of the test data generator program:</p> <p>  </p> <p>the main body of a Python program to generate test data for Python functions.…”

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

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

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

Comparison of results of algorithms under five standard functions. by Kemal Gökhan Nalbant (18858009)

“…<p>Comparison of results of algorithms under five standard functions.</p>…”

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

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

<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.…”

Convergence results of different dimensional functions under different algorithms. by Guilian Feng (18530806)

“…<p>Convergence results of different dimensional functions under different algorithms.</p>…”

The convergence curve of each optimization algorithm under the test function. by Hao Yang (328526)

“…<p>The convergence curve of each optimization algorithm under the test function.</p>…”

Convergence curves of three algorithms under different test functions. by Jianpeng Zhang (528185)

“…<p>Convergence curves of three algorithms under different test functions.</p>…”

PR curves of three algorithms under different test functions. by Jianpeng Zhang (528185)

“…<p>PR curves of three algorithms under different test functions.</p>…”

IGD values of different algorithms under different standard test functions. by Jun Sun (48981)

“…<p>IGD values of different algorithms under different standard test functions.</p>…”

Results of 6-unit load dispatch under different algorithms. by Wenjing Wang (181404)

PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. by Gursimran Singh (575288)

Subjects:

Comparison of algorithms in two cases. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

Flow of the NSGA-II algorithm. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space by Koushik Naskar (7510592)

“…In order to overcome such shortcoming, we develop a generalized algorithm, “ADT” to generate the nonadiabatic equations through symbolic manipulation and to construct highly accurate diabatic surfaces for molecular processes involving excited electronic states. …”