Adds a tiny additive surface that turns any OptimizationResult into
a self-describing JSON file the heuropt-explorer webapp can load.
Real Pareto fronts have 50–200+ candidates spanning 2–7+ objectives;
reading them as numbers in a terminal scales badly. This commit
ships the heuropt-side of the explorer — the schema and the export
API. The webapp itself lives in a separate repo on its own cadence.
Three trait/type extensions, all with working defaults so existing
impls compile untouched:
- Objective gains optional `label: Option<String>` and
`unit: Option<String>` fields, plus fluent builders
`.with_label("Price").with_unit(\"\$k\")`. Existing
`Objective::minimize(name)` / `Objective::maximize(name)` are
unchanged. Both fields are #[serde(default,
skip_serializing_if = \"Option::is_none\")] so existing JSON
round-trips cleanly.
- Problem trait gains an optional
`fn decision_schema(&self) -> Vec<DecisionVariable>` with default
empty impl. Override it to provide pretty names / labels / units /
bounds for the explorer; the default produces fallback x[0],
x[1], … names. New DecisionVariable type at
`heuropt::core::DecisionVariable` with builder methods.
- New `heuropt::traits::AlgorithmInfo` trait with `name()`
(required) and `seed()` (default None). Every built-in algorithm
— all 33 — implements it. Separate from Optimizer<P> so
multi-fidelity Hyperband (which uses PartialProblem) implements
it uniformly.
The new explorer module:
- `heuropt::explorer::ExplorerExport` envelope with versioned
schema (SCHEMA_VERSION = 1).
- ExplorerCandidate per row, with front_rank from
non_dominated_sort attached at export time so downstream tools
don't re-derive it.
- ToDecisionValues adapter trait with provided impls for Vec<f64>,
Vec<bool>, Vec<usize>, Vec<i64>; custom decision types implement
one method.
- Free functions to_json / to_writer / to_file plus a builder API
(with_algorithm_info, with_problem_name, with_wall_clock,
with_timestamp).
- Gated on the existing `serde` feature, which now also pulls in
`serde_json` as a dep.
The example:
- `examples/pick_a_car.rs` — promotes the README's PickACar to a
real example, fully enriched with Objective labels/units and a
decision_schema. Runs NSGA-III for 200 generations, prints a
sample slice, writes pick_a_car.json. Gated on `serde`.
10 new explorer unit tests cover round-trip serde, fallback
decision-variable names, enriched export, AlgorithmInfo flow,
front-rank correctness, and the ToDecisionValues impls. Lib test
count went from 229 to 242.
53 lines
1.5 KiB
TOML
53 lines
1.5 KiB
TOML
[package]
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name = "heuropt"
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version = "0.9.0"
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edition = "2024"
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rust-version = "1.85"
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authors = ["Stephen Waits <steve@waits.net>"]
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description = "A practical Rust toolkit for heuristic single-, multi-, and many-objective optimization."
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license = "MIT"
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readme = "README.md"
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repository = "https://github.com/swaits/heuropt"
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homepage = "https://github.com/swaits/heuropt"
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documentation = "https://docs.rs/heuropt"
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keywords = ["optimization", "evolutionary", "nsga", "pareto", "moead"]
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categories = ["algorithms", "science", "mathematics", "simulation"]
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[features]
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default = []
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serde = ["dep:serde", "dep:serde_json"]
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parallel = ["dep:rayon"]
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async = ["dep:futures"]
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[dependencies]
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futures = { version = "0.3", optional = true, default-features = false, features = ["std", "async-await"] }
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rand = "0.9"
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rand_distr = "0.5"
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rayon = { version = "1", optional = true }
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serde = { version = "1", features = ["derive"], optional = true }
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serde_json = { version = "1", optional = true }
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[dev-dependencies]
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gungraun = "0.18"
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proptest = "1"
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tokio = { version = "1", features = ["rt-multi-thread", "macros", "time"] }
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[[bench]]
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name = "hot_paths"
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harness = false
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[[example]]
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name = "async_eval"
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required-features = ["async"]
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[[example]]
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name = "pick_a_car"
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required-features = ["serde"]
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# Tighten release codegen for the compare harness and downstream binaries
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# that build heuropt directly (i.e. when this crate is the workspace root).
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# When heuropt is used as a dependency the consumer's profile wins.
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[profile.release]
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lto = "thin"
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codegen-units = 1
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