What it does
A methodology toolkit for formulating optimization problems, selecting numerical methods and preserving validation evidence, with research prompts and reproducible reference experiments.
- Write objectives, units, bounds and constraints explicitly.
- Compare methods under a declared evaluation budget.
- Keep independent feasibility and operational acceptance checks.
Start with an inspectable example
- Start with the problem formulation and method-selection notes.
- Inspect the reference experiment and its environment.
- Adapt the protocol and validate the result outside the optimizer.
See docs/validation_protocol.md and the reproducible experiment sources.Use the current repository instructions for setup, dependencies and version-specific commands.
Scope and verification
The archived publication is not a peer-reviewed algorithm-superiority claim or an industrial safety certification. The publication and repository have separate version and license records.
Reviewed against the public project documentation on 9 November 2026. The source repository remains the reference for releases, licensing and supported features.