differential_evolution

At equal objective-evaluation budgets, how often are known target values reached across independent initial populations?

An evaluator supplies bounded objectives with known optima, counts calls independently and recomputes objective and constraint values at every reported candidate.

What you could produce

• A versioned minimal protocol, evaluator-owned test cases, and a comparison report with numerical/statistical uncertainty and failures.

Before you use it

• SciPy 1.18.0
• Compatible NumPy and native numerical-library build; exact environment not prepared

Limits to keep in view

• No upstream example, source package, build hook or submitted code was executed.
• The current qualified pilot accepts only self-contained Python 3.13 with a 90-second deadline. This reference's package/runtime is not qualified for that path.
• The proposed protocol requires bounded resource estimates and an independently controlled evaluator before any scientific execution claim.

Source and permission context

SciPy documentation. differential_evolution. https://docs.scipy.org/doc/scipy-1.18.0/reference/generated/scipy.optimize.differential_evolution.html; observed version 1.18.0.

Catalog listing reviewed. This review covers the description and source links displayed here.

Versioned SciPy 1.18.0 page and BSD-3-Clause documentation evidence reviewed.

Reviewed 2026-09-14. Copying or adapting source files remains subject to their own terms.

Before copying source material

• Third-party figures, linked papers, datasets and dependency licenses have not been assessed; no external content is copied into this catalog.