Simple Genetic Algorithm: Code for a Mathematical Optimization Problem

An educational and research implementation of a Simple Genetic Algorithm (SGA) authored by Rafael Lahoz-Beltrá. The algorithm is applied to optimize a specific mathematical function, f(x)=abs(x-5/2+sin(x)), within the range 0<=x<=15, where the maximum value occurs at x=11. The dataset's size, row count, and last update date are unknown.

Use Cases

• Teaching genetic algorithm principles based on the described simple optimization problem.
• Benchmarking basic genetic algorithm performance based on the provided mathematical function f(x).
• Researching parameter tuning for genetic algorithms based on the described single-variable optimization task.

Strengths

• The description provides a concrete, reproducible optimization problem with a defined function and search range.
• The dataset is listed as Open Access (green license), facilitating use for education and research.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

paperswithcode

Collection Method

Likely a code implementation shared for educational purposes.