swaits
5a0475c678
Substantial v0.2.0 release on top of v0.1.0: **21 new algorithms:** - Single-objective: HillClimber, SimulatedAnnealing, GeneticAlgorithm, ParticleSwarm, CmaEs, TabuSearch, AntColonyTsp, Umda, Tlbo - Multi-objective: Mopso, Ibea, SmsEmoa, Hype, Rvea, PesaII, EpsilonMoea, AgeMoea, Grea, Knea **5 new operators:** BoundedGaussianMutation, SimulatedBinaryCrossover (SBX), PolynomialMutation, CompositeVariation, LevyMutation **New utility:** `hypervolume_nd` (HSO algorithm) for arbitrary dimensionality **New examples:** `compare` (multi-seed harness across 7 benchmark problems and 19 algorithms), `benchmarks` (canonical reference runs), `jiggly_tuning` (real-world 4-objective firmware tuning) **New feature flag:** `parallel` (rayon-backed population evaluation) **README:** added an explanatory algorithm-selection decision tree No breaking changes to v0.1.0 public API.
26 lines
778 B
TOML
26 lines
778 B
TOML
[package]
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name = "heuropt"
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version = "0.2.0"
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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"]
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parallel = ["dep:rayon"]
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[dependencies]
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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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