cbc-solver

This notebook serves as an introduction to Linear Programming and MILP with Python, covering both the concepts and practical applications through various popular optimization problems.

Build and Link Coin-OR Cbc for ALL TARGETS. Redistribution of Coin-OR Cbc as a crate.

Low-level bindings to the Coin-OR Clp library for ALL TARGETS. It will Build and Link Clp and provide bindings

Build and Link Coin-OR Osi for ALL TARGETS. Redistribution of Coin-OR Osi as a crate.

Build and Link Coin-OR Clpfor ALL TARGETS. Redistribution of Coin-OR Clpas a crate.

coin-build-tools provides a set of tools to build COIN-OR libraries from source.

Learning Linear Proramming with PuLP Python Library

Build and Link Coin-OR Cgl for ALL TARGETS. Redistribution of Coin-OR Cgl as a crate.

Enterprise-grade finite-capacity Production Scheduling & Optimization (PSO) system using Python, Pyomo, and MILP (HiGHS/CBC). Optimizes machine scheduling, operator assignment, batch planning, inventory, and production costs under real-world manufacturing constraints.

A basic implementation of Resource-Constrained Project Scheduling Problem using PuLP

Build and Link Coin-OR CoinUtils for ALL TARGETS. Redistribution of Coin-OR CoinUtils as a crate.

First attempts at coding and executing optimization problems in c++, through the cbc solver.

When does the greedy beat the solver? A computational study of an obnoxious facility location problem, benchmarking CBC against a greedy heuristic across 60 instances. Reveals a difficulty cliff driven by covering density.

Оптимизация с помощью Pyomo для задачи выбора каналов коммуникации с клиентами на основе откалиброванных скоров моделей и ограничений по числу коммуникаций в каждом из каналов

Low-level bindings to the Coin-OR Cbc library for ALL TARGETS. It will Build and Link Cbc and provide bindings

This repo highlights the use of optimizers in Julia for solving Leetcode challenges and other Algorithms

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).