Cost functions implemented in Neuroptimus. by Máté Mohácsi (20469514)

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

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Probability density functions (PDFs) of the simulated surveillance noise. by Sandor Beregi (22177739)

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

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Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

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Modular architecture design of PyNoetic showing all its constituent functions. by Gursimran Singh (575288)

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Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

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Trainable parameters for different algorithms. by Anwar Hossain Efat (19942283)

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

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Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

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Flowchart of the AH-NSAFSA. by Jihui Hu (19812736)

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Decoding process. by Jihui Hu (19812736)

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China medical waste disposal market size statistics and forecast, 2018 to 2029. by Jihui Hu (19812736)

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Levels of input parameters. by Jihui Hu (19812736)

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The S/N ratio plot of the AH-NSAFSA in the Taguchi methodology. by Jihui Hu (19812736)

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Tuned values of parameters. by Jihui Hu (19812736)

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Time-sharing tariff. by Jihui Hu (19812736)

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Cost function of storage facility construction. by Qian Huang (127640)

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). …”

<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.…”