turboswarm-core

The Rust core of turboswarm — a Particle Swarm Optimization library. Pure Rust, no FFI, zero-cost generics.

The PSO loop knows nothing about any concrete variant: everything that changes lives behind three traits — SearchSpace, Velocity and Topology. Adding a variant means implementing one trait, without touching the core.

Features

• Velocity variants: inertia, constriction (Clerc-Kennedy) and FIPS.
• Topologies: global, ring, Von Neumann and random.
• Spaces: continuous, integer (with discretization) and mixed.
• Multi-objective optimization (MOPSO) in turboswarm_core::mopso.
• Parallel objective evaluation (minimize_parallel, via rayon).
• Run control: target / evaluation / time budgets, stagnation, callback.
• Benchmarks with metadata (sphere, rastrigin, rosenbrock, ackley, griewank, schwefel).

Example

use turboswarm_core::prelude::*;
use turboswarm_core::benchmarks::rastrigin;

let space = ContinuousSpace::uniform(2, -5.12, 5.12);
let velocity = InertiaVelocity::new(0.729, 1.49445, 1.49445);
let params = PsoParams { seed: Some(42), ..Default::default() };

let result = Pso::new(space, velocity, GlobalBest::new(), params).minimize(rastrigin);
assert!(result.best_value < 1e-3);

The Python bindings live in the turboswarm package (pip install turboswarm). Full docs: https://turboswarm.github.io/.

License

MIT