Unimodal Benchmark Functions for Metaheuristic Algorithm Testing

A 5.5 KB Excel file containing benchmark functions used to evaluate the Felis Catus Optimization (FCO) algorithm. The dataset was created by Mohammad Salehi and last updated on April 15, 2026. It includes functions from the CEC 2005 and CEC 2017 benchmark suites for testing continuous optimization algorithms.

Use Cases

• Benchmarking new optimization algorithms based on the CEC 2005 and CEC 2017 function suites mentioned in the description
• Testing algorithm performance on unimodal functions to assess convergence behavior
• Comparing algorithm results against the Felis Catus Optimization (FCO) algorithm's published performance
• Validating optimization algorithms for real-world engineering design problems referenced in the study

Strengths

• Functions are from established CEC 2005 and CEC 2017 benchmark suites.
• Dataset is small (5.5 KB) and easy to distribute and load.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count and specific column definitions are unknown.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's scope is limited to benchmark functions and does not contain algorithm results or real-world problem data.

Provenance

Source

Mohammad Salehi via figshare

Collection Method

Likely compiled from standard CEC benchmark suites for algorithm testing.

Freshness

Last updated 2026-04-15 18:08:06; freshness should be verified.