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

The boundary selection strategy utilized in the DBO algorithm. by Wenxing Wu (16853002)

“…<p>The boundary selection strategy utilized in the DBO algorithm.</p>…”

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

Improved selection operator strategy. by Xiue Gao (9132332)

Illustration of the random block strategy implemented in the BOSO algorithm. by Luis V. Valcárcel (12700318)

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Feature selection strategy pipeline. by Roberto A. Cárdenas-Ovando (3966425)

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Selection strategy process. by Hui Yang (91136)

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Heatmap plot of selected features by the feature selection algorithm. by Sutanu Nandi (9707720)

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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.…”

Performances of different trading strategies by annualized indicators. by Ganggang Guo (48117)

Subjects: “…novel representation algorithm…”

Model selection for each clustering algorithm considered. by Luan Carlos de Sena Monteiro Ozelim (16914117)

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Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

“…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. The suggested strategy facilitates the acquisition of precise functionality attributes, hence simplifying the detection procedure. …”

The conceptual model of boundary selection strategy. by Zhenjing Xie (18196063)

Parameter settings of IWOA and other selected algorithms. by Wei Liu (20030)

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Parameter settings of IWOAIKFS and other selected algorithms. by Wei Liu (20030)

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Evaluation of long-only trading strategies based on different ranking prediction models. by Ganggang Guo (48117)

Subjects: “…novel representation algorithm…”

Convergence curves of the different algorithms on the feature selection. by Guangwei Liu (181992)

Summary of the BOSO algorithm. by Luis V. Valcárcel (12700318)

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Visualization of the outcome of the proposed strategy. by Sutanu Nandi (9707720)

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