Benchmark Results for 30 Functions and 18 Optimization Algorithms

Statistical results summarizing the performance of 18 algorithms on 30 benchmark functions. The data includes mean and standard deviation values, with lower mean values indicating better solution quality. The dataset was authored by Mohammad Salehi, shared on figshare under a CC-BY-4.0 license, and last updated on April 15, 2026.

Use Cases

• Compare algorithm performance based on mean and standard deviation values across 30 functions.
• Conduct meta-analysis of optimization algorithm benchmarks using the provided statistical summaries.
• Validate new algorithm results against a baseline of 18 established methods.
• Analyze the consistency of algorithm performance using the reported standard deviation values.

Strengths

• Results for 30 distinct benchmark functions provide a broad test scope.
• Performance of 18 different algorithms is summarized for comparison.
• Data is shared under a permissive CC-BY-4.0 license.
• Values use scientific notation (E-format) for numerical consistency.

Limitations

• The dataset is very small at 41.5 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Freshness

Last updated 2026-04-15 18:08:16; freshness should be verified.