highs

Optimization blog

NREL Engage Project

WASM build of the HiGHS solver with a simple TypeScript interface.

Tool for the placement of green cells on the Bologna landscape using specifically designed combinatorial optimization techniques. To display our results check the link.

Provincial capacity expansion and hourly dispatch optimization model for China's power system (31 provinces, 8760h, 11 gen + 6 storage tech, 3 scenarios, dual-carbon pathway 2025-2060)

Let’s Play of Claude Code CLI running AdCP autonomously

Open-source multi-gameweek Fantasy Premier League squad optimiser powered by HiGHS.

Production-style optimization and simulation sandbox for GPU workload scheduling, queueing, and compute-capacity policy evaluation.

Local quantum-inspired + classical optimization platform — portfolio, scheduling, VRP, Max-Cut, QUBO. FastAPI, SQLite, HiGHS & simulated annealing. Free, runs on a laptop.

Optimizador de turnos para los campamentos de la Fundación Proyecto Persona: MILP en Python (Pyomo + Gurobi/HiGHS) con Excel como fuente de verdad e interfaz Streamlit.

Open optimization platform & marketplace — build, buy & automate optimization models. Solver-agnostic (SCIP/HiGHS), RAG formulation assistant, MCP server. FastAPI + Next.js.

pyopl is a Python library for parsing and solving OPL-like mathematical programming models using Gurobi or Scipy (Highs). It supports a subset of Optimisation Programming Language (OPL) syntax for linear and mixed-integer programming.

Battery energy storage dispatch model built with Pyomo, co-optimizing energy price arbitrage with frequency regulation capacity (revenue stacking) as a single LP. Power and SOC headroom constraints couple the two markets; the horizon is energy-neutral so reported profit is not inflated by the opening charge.

This project implements a sparse Primal–Dual Hybrid Gradient (PDHG) solver for linear programs in standard form.

MIP求解器技术基础课程 - 从零到能自己写MIP模型解决问题 | Mixed Integer Programming Solver Tutorial

Algebraic modeling library for Linear and Mixed-Integer Programming in Crystal with HiGHS bindings and vectorized modeling.

Exact MILP solution to the Capacitated Vehicle Routing Problem, built with Pyomo: single depot, homogeneous fleet, two-index vehicle-flow formulation with Miller-Tucker-Zemlin subtour elimination. Exact means no heuristics - and therefore small, with a measured benchmark showing where it stops scaling.

Production-grade Split-Delivery VRPTW solver for secondary distribution logistics: vehicle routing, loading-bay scheduling, and time-window dispatch optimization built with Pyomo and free open-source solvers (HiGHS/CBC).

Multi-echelon supply chain network design and production-distribution-inventory planning as one MILP in Pyomo: which plants and warehouses to open, and how to produce, ship, and hold stock across a multi-period horizon.

My attempt to solve the Optimization problems