rgenoud: R Package for Genetic Optimization Using Derivatives

rgenoud is an R package implementing genetic optimization algorithms with derivative information. The package is authored by Walter R. Mebane and is listed on Papers with Code under an Open Access (gold) license. Its specific contents and scale are not detailed in the available metadata.

Use Cases

• Calibrating complex simulation models using genetic algorithms (inferred from domain, verify after download)
• Solving high-dimensional, non-convex optimization problems (inferred from domain, verify after download)
• Benchmarking derivative-assisted optimization methods against other techniques (inferred from domain, verify after download)

Strengths

• Published on the Papers with Code platform, which aggregates research resources.
• Released under an Open Access (gold) license, facilitating reuse.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation and sample data are unavailable, making field semantics unclear.
• The last update date is unknown, so the package's freshness is unverified.

Provenance

Source

Walter R. Mebane