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

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب 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 حسب 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.…"

Results obtained by different algorithms on 23 benchmark functions. حسب Yuqi Xiong (12343771)

الموضوعات:

Convergence curves obtained by different algorithms on 23 benchmark functions. حسب Yuqi Xiong (12343771)

الموضوعات:

Different algorithms in 23 benchmark functions to obtain partial boxplot. حسب Yuqi Xiong (12343771)

الموضوعات:

Results obtained by different algorithms on CEC2022 benchmark functions. حسب Yuqi Xiong (12343771)

الموضوعات:

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit حسب Gonzalo Colmenarejo (650249)

"…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …"

Convergence curves obtained by different algorithms on CEC2022 benchmark functions. حسب Yuqi Xiong (12343771)

الموضوعات:

Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection حسب Samin Aref (4683934)

"…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…"

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

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

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz حسب Faizan Ali (21689861)

الموضوعات:

Functional fitness test results of different algorithms. حسب Ling Zhao (111365)

Experimental results of NAFPSO algorithm with pipeline complexity of 0.7. حسب Huichao Guo (14515171)

Experimental results of NAFPSO algorithm with pipeline complexity of 0.5. حسب Huichao Guo (14515171)

Experimental results of NAFPSO algorithm with pipeline complexity of 0.6. حسب Huichao Guo (14515171)

If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. حسب Yuanchen Zhao (12905580)

الموضوعات:

Multimodal test functions. حسب HaoCheng Wang (6089567)

Unimodal test functions. حسب HaoCheng Wang (6089567)