FCO Codes v3: Felis Catus Optimization Algorithm Benchmark Results

FCO codes v3 is a dataset related to the Felis Catus Optimization (FCO) algorithm, a nature-inspired metaheuristic modeled on the behavior of domestic cats. The dataset, created by Mohammad Salehi and last updated in April 2026, contains results from extensive experiments on CEC 2005 and CEC 2017 benchmarks and applications to three real-world engineering design problems.

Use Cases

• Benchmarking new optimization algorithms based on performance against CEC 2005 and CEC 2017 test suites.
• Analyzing the convergence behavior and population dynamics of nature-inspired metaheuristics.
• Applying optimization results to real-world engineering design problems mentioned in the description.

Strengths

• Algorithm performance validated on two established benchmark suites (CEC 2005 and CEC 2017).
• Results include applications to three real-world engineering design problems, demonstrating practical utility.
• Dataset is openly licensed under CC-BY-4.0.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description is technical but does not detail the specific data structure within the 67.1 MB ZIP file.

Provenance

Source

Mohammad Salehi via figshare.

Collection Method

Likely contains experimental results and performance data generated by testing the FCO algorithm.

Freshness

Last updated 2026-04-15 18:07:45; freshness should be verified.