Examples

This is the AIMMS open sourced project gallery! Feel free to use and learn from them - then, make them your own by furthering the development! Do you have thoughts or suggestions? Please find us in our Community.

Demo Applications

card-img-top
Contract Allocation

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 suppliers.

card-img-top
Employee Scheduling

Optimizes employee assignments across a restaurant chain by finding the most cost-effective placement of skilled staff to meet varying demands while minimizing the impact of using less experienced workers.

card-img-top
Knapsack

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

card-img-top
Reindeer Pairing

Explores alternative pairings of Santa’s reindeer based on their preferences to determine if better arrangements exist beyond the traditional Christmas lineup.

card-img-top
Traveling Salesman

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

card-img-top
Vessel Scheduling

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

Functional Applications

card-img-top
Geolocation AbstractAPI

Demonstrates an IP Locator tool that uses the geolocation.abstractapi service to translate an IP address into a geographic location, allowing users to identify their location based on their IP address.

card-img-top
Demand Forecasting

Analyzes historical demand data from a cookie factory to forecast future demand. With the goal to analyze various forecasting algorithms to determine the best fit for the factory, improving understanding and reducing waste.

card-img-top
Bias in AI

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.