Product Update - October 2020: AIMMS 4.76.1, Scripting language integration, runtime improvements and new features
This post is an archive of the Product Update email sent by AIMMS Product Owner,
We released some exciting new features this past month. Here's an overview of what you'll find in this email: Easily include the power of Python into your AIMMS model, for example to pre-process input data using Machine LearningInterested in using the combined power of machine learning and AIMMS to improve decision making? Now you can! We have released new features to provide support for scripting languages in AIMMS, including a new HTTP Client Library, a new Data Exchange Library and supporting documentation in How-To. More information is available here. The combination of these libraries and docs should give you ultimate flexibility in using the (scripting) service of your choice; now and in the future. |
Library Updates
Data Exchange We launched version 1.1. of the new Data Exchange Library (Version 1 shipped on July 2020). This version now also supports read/write capabilities to and from Excel, and comes with improved (auto-)mapping features. To be precise, we added:
AXXL and Forecasting Library Until now, both the AXXL Library (for reading and writing XLS/XLSX files) and the Forecasting Library have been system libraries and part of each AIMMS installation. However, all newer libraries have been released via the online AIMMS Library Repository, allowing us to be more agile and creating less dependency on specific AIMMS releases. Therefore, we are close to completing the move of those two libraries. We will keep you posted in this Product Update email or in the Community. |
Solver Updates That Improve Runtimes by 75% |
New in AIMMS SC Navigator
In case you missed it, earlier this month, our team released a new version of AIMMS SC Navigator with some exciting updates:
|
Community Insights: Styling Data Charts
Many AIMMS developers are interested in different ways to style data charts. In AIMMS, you can do this by using style annotations in combination with CSS. The example below shows how you can visualize forecast data differently from historic data. There are several examples in our Community:
|
Language Reference Now Available in HTML
Just like the Function Reference, the AIMMS Language Reference is now available in HTML and crawled by our search engine. We will soon connect it to our ”Help on” feature in the AIMMS IDE. |