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

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

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

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Training algorithm flow. by Xing Chen (140292)

Algorithm flow of BBO. by Jian Yang (12136)

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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Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

gmxapi usage examples. by M. Eric Irrgang (4487278)

Performance comparison of recent and effective algorithms for minimizing error-based cost functions. by Davut Izci (15927452)

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The summarized flow of the methodology. by Namal Rathnayake (15361124)

“…Results of the study showcased that both systems can simulate river flows as a function of catchment rainfalls; however, the Cat gradient Boosting algorithm (CatBoost) has a computational edge over the Adaptive Network Based Fuzzy Inference System (ANFIS). …”

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.…”

Bidirectional energy flow between energy districts and utility. by Waqar Ahmed (572588)

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Cost function with VPLE. by Ijaz Ahmed (1545961)

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Cost function depending on the waiting time. by Ludovica Adacher (11238189)

Visualization and balancing the cost function with the Pauli term. by Alexander Borst (32619)

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Flow chart of LEO algorithm. by Jianxia Zhang (650535)

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