optimization-jobs

Parallel gradient-free optimization for Python: black-box, multi-objective and quality-diversity search.

Native Rust parallel black-box optimization, Python bindings, and a worker for durable optimization jobs.

Rust sequential quadratic programming for smooth constrained optimization, with Python bindings and a shell/MCP job worker.

Native Rust linear and mixed-integer linear programming with Python bindings and a shell/MCP job worker.

Rail dispatch evaluator in Rust: dispatch policies on synthetic fixed-route corridors with blocking, clearance and entry closures, with Python bindings.

Chemical reaction network simulation in native Rust: exact Gillespie SSA ensembles, tau leaping and finite state projection, with a Python package and CLI.

Hydrology evaluator in Rust: synthetic HBV-style daily catchment and one-reservoir release rules, with Python bindings and a versioned JSON CLI for optimization studies.

Steam-cycle evaluator in Rust: IAPWS-IF97 water/steam properties and Rankine cycles with open feedwater heaters, with Python bindings for cycle optimization.

Control evaluator in Rust: mass-spring-damper rollouts with held-force schedules and sampled saturated PD controllers, with Python bindings for control optimization.

Durable optimization jobs for AI agents: local Rust runner, worker SDK and MCP server with a shared CPU budget.

Reproducible experiment campaigns, parameter sweeps and solver comparisons for AI agents, with a local browser dashboard; runs on optimization-jobs.

CFD experiment and validation workbench: native Rust solver for incompressible flow and passive-gas dispersion, bounded OpenFOAM 13 backend, Python API.

Stochastic population models in Rust: fixed-population SIR via finite state projection, neutral Moran drift and two-state rate calendars, with Python bindings.