//! Bioinspired optimisation algorithms.
//!
//! Provides metaheuristic solvers for minimising continuous objective functions
//! `f: R^D → R` without requiring gradient information.
//!
//! # Algorithms
//!
//! | Module | Algorithm |
//! |-------------------------|--------------------------------|
//! [`particle_swarm`] | Particle Swarm Optimisation |
//! [`genetic_algorithm`] | Genetic Algorithm (real-coded) |
//! [`simulated_annealing`] | Simulated Annealing |
//!
//! All implementations:
//! - are `no_std` compatible (use `libm` for transcendental functions),
//! - use an LCG for pseudo-randomness (no `rand` crate),
//! - are generic over `S: ControlScalar` (supports `f32` and `f64`).
pub use GeneticAlgorithm;
pub use ;
pub use SimulatedAnnealing;