Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection by 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.…”

Details of 23 basic benchmark functions. by Jiahao Fan (11236401)

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Reward function related parameters. by Honglei Pang (22693724)

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Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. by Kevin Sawade (16726527)

“…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…”

Supplementary Tables S1 to S14 from Gene Expression Integration into Pathway Modules Reveals a Pan-Cancer Metabolic Landscape by Cankut Cubuk (14932079)

MChOA algorithm flow chart. by Guilin Yang (583364)

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RMSE values of different algorithms for different bands in the "Kherson" region. by YueSheng Jiang (19267984)

RMSE values of different algorithms for different bands in the "PY" region. by YueSheng Jiang (19267984)

RMSE value filled by different algorithms (mean ± std). by Xing Chen (140292)

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Flowchart of a single epoch in the FOX optimization algorithm [10]. by Mahmood A. Jumaah (22272371)

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Adaptive exploration and exploitation method of Improved FOX optimization algorithm. by Mahmood A. Jumaah (22272371)

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Table1_Multiobjective optimization algorithm for accurate MADYMO reconstruction of vehicle-pedestrian accidents.DOCX by Donghua Zou (290402)

“…The objective function of the optimization problem was defined as the Euclidean distance between the known vehicle, human and ground contact points, and multiobjective optimization algorithms were employed to obtain the local minima of the objective function. …”

The POFIF-C samples from the real data sets. by Salem A. Alyami (10572611)

Supplementary file 1_Earthworm optimization algorithm for extracting parameters for solar cells and photovoltaic modules.docx by Fatima Wardi (22052360)

“…The extracted parameters for each case study are used to reconstruct the I–V and power–voltage (P–V) characteristic curves for the respective solar cell and photovoltaic module technologies. To validate the performance and efficiency of the algorithm, various statistical criteria are computed, including individual absolute error (IAE), relative error (RE), root mean square error (RMSE), mean absolute error (MAE), standard deviation (SD), tracking signal (TS), normalized forecast measure (NFM), and the autocorrelation function (ACF). …”

The performance metrics comparison between MaAVOA and other algorithms in terms of GD value on DTLZs in the case of the 100000 function evaluations. by Heba Askr (15572851)

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The performance metrics comparison between MaAVOA and other algorithms in terms of HV value on DTLZs in the case of the 100000 function evaluations. by Heba Askr (15572851)

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The performance metrics comparison between MaAVOA and other algorithms in terms of IGD value on DTLZs in the case of the 100000 function evaluations. by Heba Askr (15572851)

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Skeletonisation algorithm. by Jordan Hembrow (16908051)