aimms

Examples from the AIMMS Modeling Book, Functional examples demonstrating particular AIMMS features, AIMMS-style application examples including an end-user UI, Practical examples, including references to the articles on which each example is based.

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 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.

Optimizing renewable energy integration and green hydrogen production for sustainable cities using a two-stage stochastic model in AIMMS

The AIMMS Language Reference published at https://documentation.aimms.com/language-reference/index.html

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.

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.

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

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

The AIMMS Function Reference published at https://documentation.aimms.com/functionreference/index.html

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.

Combining multicriteria value measurement with mathematical programming for modeling complex decisions: Applications in strategic forest management planning

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.

Global configuration and standard resources for the AIMMS organization.

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

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.

This Sphinx theme was designed to provide a great reader experience for documentation users on both desktop and mobile devices for AIMMS projects and libraries.

Operations Research introductory course and exercises using AIMMS

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

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