Flow diagram of the proposed algorithm. by Rahila Hafiz (18137254)

“…We conduct simulation experiments and compare the proposed algorithm with the original WOA on thirteen benchmark test functions. …”

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). …”

Algorithm control flow chart. by Guangliang Li (194029)

Artificial colony algorithm flow. by Jianpeng Zhang (528185)

<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.…”

Block diagram of the experimental setup. by Alexander V. Spirov (11302085)

The flow chart of IERWHO algorithm. by WanRu Zhao (18980374)

The flow chart of WHO algorithm. by WanRu Zhao (18980374)

Flow chart of the algorithm structure of this paper. by Yunpeng Bai (1714087)

S1 File - by Yuh-Chin T. Huang (17867207)

Subjects:

S1 Dataset - by Yuh-Chin T. Huang (17867207)

Subjects:

Model optimization flow by MFO algorithm. by Ruoqi Wang (14958062)

Environmental setup. by Parthiban Aravamudhan (15338781)

The performance of the contralateral temporo-frontal setup across virtual time. by Janne J. Luppi (17804327)

“…<p>All stimulation setups were begun at t = 10, in order to give the ADD algorithm time to cause intitial damage. …”

The performance of the contralateral parieto-frontal setups across virtual time. by Janne J. Luppi (17804327)

“…<p>All stimulation setups were begun at t = 10, in order to give the ADD algorithm time to cause intitial damage. …”

Auto-tuning algorithm of the weight factors in the cost function. by Syed Umaid Ali (14486372)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Optimization flow chart of the AO algorithm. by Haijian Wang (746739)