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AIMMS

README.md

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:

Project Engagement Documentation & Guides
Contract Allocation Downloads Read Article
Vessel Scheduling Downloads Read Article
Knapsack Downloads Read Article
Traveling Salesman Downloads Read Article
Employee Scheduling Downloads Read Article
EV Charging Locations Downloads Read Article
Reindeer Pairing Downloads Read 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.

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  1. contract-allocation contract-allocation Public

    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-scheduling vessel-scheduling Public

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

    Python 1

  3. knapsack knapsack Public

    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-ai bias-in-ai Public

    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-salesman traveling-salesman Public

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

    CSS

  6. ev-charging-locations ev-charging-locations Public

    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 1

Repositories

Showing 10 of 40 repositories
  • documentation Public

    AIMMS Documentation is published at https://documentation.aimms.com/. AIMMS Documentation is a help resource containing detailed product documentation and other reference materials including user guide, function list, modeling manual, language reference.

    aimms/documentation’s past year of commit activity
    Python 5 3 1 0 Updated Mar 10, 2026
  • how-to Public

    AIMMS How-to published at https://how-to.aimms.com/. AIMMS How-To is a support knowledge base for everyone involved in projects that use AIMMS. You'll find help tutorials, best practices, and practical guidance for using AIMMS software.

    aimms/how-to’s past year of commit activity
    HTML 5 12 1 2 Updated Mar 9, 2026
  • knapsack Public

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

    aimms/knapsack’s past year of commit activity
    CSS 0 0 0 0 Updated Feb 27, 2026
  • user-guide Public

    The AIMMS User's Guide deployed at https://documentation.aimms.com/user-guide/

    aimms/user-guide’s past year of commit activity
    TeX 0 1 0 0 Updated Feb 23, 2026
  • 694-sets-for-configuration Public

    This repository contains the minimal working example (MWE) discussed in the following AIMMS How-To article:

    aimms/694-sets-for-configuration’s past year of commit activity
    CSS 0 0 0 0 Updated Feb 9, 2026
  • 685-continued-solve Public

    This repository contains the minimal working example (MWE) discussed in the following AIMMS How-To article:

    aimms/685-continued-solve’s past year of commit activity
    0 0 0 0 Updated Feb 9, 2026
  • 679-hello-world-aimmspy Public

    This repository contains the minimal working example (MWE) discussed in the following AIMMS How-To article:

    aimms/679-hello-world-aimmspy’s past year of commit activity
    Python 0 0 0 0 Updated Feb 9, 2026
  • 684-location-iq Public

    This repository contains the minimal working example (MWE) discussed in the following AIMMS How-To article:

    aimms/684-location-iq’s past year of commit activity
    CSS 0 0 0 0 Updated Feb 9, 2026
  • .github Public

    Global configuration and standard resources for the AIMMS organization.

    aimms/.github’s past year of commit activity
    0 0 0 0 Updated Feb 7, 2026
  • vessel-scheduling Public

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

    aimms/vessel-scheduling’s past year of commit activity
    Python 1 0 0 0 Updated Feb 7, 2026
View all repositories

People

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