Felis Catus Optimization (FCO) vs. Metaheuristics: Holm Post-Hoc Comparison on CEC 2017

A 5.5 KB Excel file contains Holm post-hoc statistical comparison results for the Felis Catus Optimization (FCO) algorithm against competing metaheuristics. The data was authored by Mohammad Salehi and last updated on April 15, 2026. It evaluates algorithm performance on the CEC 2017 benchmark functions under a minimization criterion.

Use Cases

• Conduct statistical validation of metaheuristic algorithm performance based on benchmark function results.
• Compare the Felis Catus Optimization (FCO) algorithm against other metaheuristics based on the described post-hoc test.
• Inform algorithm selection for optimization problems based on the CEC 2017 benchmark suite.
• Support meta-analysis or review papers on bio-inspired optimization algorithms.

Strengths

• Dataset is small (5.5 KB), enabling quick download and inspection.
• Data is shared under a permissive CC-BY-4.0 license.
• Focuses on a specific, standardized benchmark (CEC 2017 functions).

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Mohammad Salehi via figshare.

Collection Method

Likely contains results from computational experiments comparing optimization algorithms.

Freshness

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