<p>Summary of Function-Level Statistical Significance Comparison Between RL-DE and Baselin

A summary dataset comparing the statistical significance of algorithm performance across different benchmark functions. The dataset is 9.5 KB in size and was authored by Yang Cao. It was last updated on May 13, 2026.

Use Cases

• Conducting meta-analysis of algorithm performance based on statistical significance results.
• Benchmarking new optimization algorithms against the RL-DE and baseline methods mentioned.
• Validating research findings on algorithm superiority using pre-computed statistical tests.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is small (9.5 KB), facilitating quick download and inspection.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-05-13 17:45:05; freshness should be verified.