Skip to content

Welcome to AIMMS Open Source Hub!

At AIMMS, we empower teams to optimize their world. This GitHub organization is our central hub for sharing practical examples, comprehensive documentation, and developer tools to help you build powerful prescriptive analytics applications.

📊 Featured Projects & KPIs

We monitor these projects closely to ensure our community has the best resources. Here is the current engagement and documentation for our featured models:

ProjectEngagementDocumentation & Guides
Contract AllocationDownloadsRead Article
Vessel SchedulingDownloadsRead Article
KnapsackDownloadsRead Article
Traveling SalesmanDownloadsRead Article
Employee SchedulingDownloadsRead Article
EV Charging LocationsDownloadsRead Article
Reindeer PairingDownloadsRead Article

🙋‍♂️ Support & Contributions

Need help or want to improve our tools?

  • AIMMS Community: The best place for modeling advice and technical discussions.
  • Contribute: Found a bug or have an improvement? Let us know or push a change! You are invited to help us grow.

📚 Master AIMMS (Knowledge Hub)

Everything you need to go from beginner to expert, all in one place:

  • AIMMS E-Learning: Structured video courses and certifications (now with subtitles in 7 languages!).
  • Documentation: Detailed technical manuals and language references.
  • How-to: Practical articles and step-by-step guides for specific use cases.

Maintained by the AIMMS User Support Team. We optimize the way you build optimization.

Pinned Loading

  1. contract-allocationcontract-allocationPublic

    Project assigns producers to contracts to minimize total costs, ensuring demand is met, supply limits aren't exceeded, minimal contributions are respected, and each contract has a minimum number of…

    Python 2

  2. vessel-schedulingvessel-schedulingPublic

    Plans efficient cargo delivery with oil tankers, minimizing costs while ensuring each vessel carries one cargo within set time windows.

    Python 2

  3. knapsackknapsackPublic

    Problem where the goal is to maximize the total value of items placed in the knapsack, subject to a weight limit.

    CSS

  4. bias-in-aibias-in-aiPublic

    Shows how machine learning bias can be illustrated by creating an AIMMS front-end for a Python application that teaches about ethics-related bias using data from Kaggle.

    Python 1

  5. traveling-salesmantraveling-salesmanPublic

    Demonstrates various methods for solving the Traveling Salesman Problem (TSP), which seeks the optimal route among a set of locations based on distance.

    CSS 1

  6. ev-charging-locationsev-charging-locationsPublic

    Optimizes the placement and sizing of EV charging stations using the PSO algorithm, balancing accessibility and infrastructure costs to support sustainability goals and address urban demand.

    CSS 2

Repositories

Showing 10 of 42 repositories

People

This organization has no public members. You must be a member to see who’s a part of this organization.

Top languages

Loading…

Most used topics

Loading…