feat: v0.5.0 — comprehensive documentation release
Theme: documentation and project polish. No public-API changes; this is the v0.5 release that elevates heuropt's docs/onboarding/governance to bar-setting status. Adds: - mdbook user guide at docs/book/ with intro, getting-started, defining-problems, choosing-an-algorithm, cookbook (7 recipes), comparison vs other libraries, stability/SemVer, migration guides. Deploys to https://swaits.github.io/heuropt/ via .github/workflows/ docs.yml. - Runnable rustdoc examples on every algorithm (35 of them), all exercised by cargo test --doc. - Three real-world examples: portfolio.rs (multi-obj with budget constraint), hyperparam_tuning.rs (BO + TPE), scheduling.rs (permutation via SA + SwapMutation against Smith's-rule oracle). - Governance: CONTRIBUTING.md, SECURITY.md, CODE_OF_CONDUCT.md (adopting builderscode.org's Builder's Code of Conduct), GitHub issue templates, PR template. Polishes: - README hero with badges + user-guide link. - lib.rs crate-level docs. - CHANGELOG entry for 0.5.0. Bumps Cargo.toml to 0.5.0.
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@@ -44,6 +44,37 @@ impl Default for DifferentialEvolutionConfig {
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///
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/// `Vec<f64>` decisions only; single-objective problems only. Bounds come from
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/// the embedded `RealBounds`, and mutant vectors are clamped to those bounds.
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///
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/// # Example
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///
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/// ```
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/// use heuropt::prelude::*;
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///
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/// struct Sphere;
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/// impl Problem for Sphere {
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/// type Decision = Vec<f64>;
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/// fn objectives(&self) -> ObjectiveSpace {
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/// ObjectiveSpace::new(vec![Objective::minimize("f")])
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/// }
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/// fn evaluate(&self, x: &Vec<f64>) -> Evaluation {
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/// Evaluation::new(vec![x.iter().map(|v| v * v).sum::<f64>()])
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/// }
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/// }
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///
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/// let mut opt = DifferentialEvolution::new(
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/// DifferentialEvolutionConfig {
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/// population_size: 20,
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/// generations: 50,
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/// differential_weight: 0.5,
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/// crossover_probability: 0.9,
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/// seed: 42,
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/// },
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/// RealBounds::new(vec![(-5.0, 5.0); 5]),
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/// );
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/// let r = opt.run(&Sphere);
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/// // DE crushes Sphere; expect very small objective.
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/// assert!(r.best.unwrap().evaluation.objectives[0] < 1e-3);
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/// ```
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#[derive(Debug, Clone)]
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pub struct DifferentialEvolution {
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/// Algorithm configuration.
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