Statistical Indices of POA, MPA, MFO, SCA, and GWO Algorithms at 3 Bar/1073 K
by Amlak Abaza·Updated 4d ago
5.5 KB1files
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Description
Statistical indices for five algorithms—POA, MPA, MFO, SCA, and GWO—are provided for a condition of 3 bar and 1073 K over 30 runs. The dataset was authored by Amlak Abaza and last updated on June 2, 2026. It is a small 5.5 KB Excel file shared under a CC-BY-4.0 license on figshare.
Use Cases
Compare the performance stability of POA, MPA, MFO, SCA, and GWO algorithms based on the provided statistical indices.
Benchmark new optimization algorithms against established ones using the 30-run experimental results.
Analyze algorithm behavior under the specific pressure and temperature conditions (3 bar/1073 K) described.
Strengths
Dataset is small (5.5 KB), facilitating quick download and inspection.
Results are based on 30 experimental runs, which may provide a basis for statistical analysis.
Clear licensing (CC-BY-4.0) permits reuse with attribution.
Limitations
Row count and column-level documentation are unknown, requiring manual inspection after download.
The description is minimal, offering no context for the algorithms, the measured indices, or the experimental setup.
The dataset's limited scope (5.5 KB) suggests it contains summary statistics, not raw experimental data.
Provenance
Source
figshare
Collection Method
Likely generated from computational or experimental runs of the mentioned algorithms.
Freshness
Last updated 2026-06-02 17:26:17; freshness should be verified.
Data is in XLS (Excel) format, requiring compatible software to open.