This page provides a variety of code examples and tutorials for different optimization problems, including linear optimization, integer optimization, constraint optimization, and routing.
The examples cover various use cases like the Traveling Salesperson Problem (TSP), Vehicle Routing Problem (VRP), and more, with variations like capacity constraints, pickup and delivery, and time windows.
Users can access code in C++, Python, .Net, and Java, along with accompanying tutorials to understand the implementation.
Interactive Colabs are available, allowing users to run the code demos directly in their browser for immediate experimentation.
The table organizes these resources by problem type and interface, providing easy navigation to relevant materials for specific optimization needs.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-03-18 UTC."],[],["The table provides resources for optimization problems, including linear, integer, and constraint optimization, and various routing scenarios. Each problem type lists its interface and a description. It offers tutorials and Colab demos for interactive learning. Code examples are given in C++, Python, .Net, and Java, linked to corresponding GitHub repositories. The table covers diverse problems such as TSP, VRP, and includes capacity, time windows, and location constraints.\n"]]