What's new and changed in Decision Optimization

Decision Optimization updates can include new features and fixes. Releases are listed in reverse chronological order so that the latest release is at the beginning of the topic.

You can see a list of the new features for the platform and all of the services at What's new in IBM Software Hub.

Installing or upgrading Decision Optimization

Ready to install or upgrade Decision Optimization?

To install Decision Optimization along with the other IBM® Software Hub services, see Installing IBM Software Hub.
To upgrade Decision Optimization along with the other IBM Software Hub services, see Upgrading IBM Software Hub.
To install or upgrade Decision Optimization independently, see Decision Optimization.
Remember: All of the IBM Software Hub components associated with an instance of IBM Software Hub must be installed at the same version.

IBM Software Hub Version 5.2.2

A new version of Decision Optimization was released in October 2025 with IBM Software Hub 5.2.2.

Operand version: 11.2.0

This release includes the following changes:

Customer-reported issues fixed in this release

For a list of customer-reported issues that were fixed in this release, see the Fix List for IBM Cloud Pak® for Data on the IBM Support website.

Security issues fixed in this release

The following security issues were fixed in this release:

CVE-2025-8194, CVE-2025-8058, CVE-2025-6395, CVE-2025-5914, CVE-2025-58754, CVE-2025-58058, CVE-2025-58057, CVE-2025-58056, CVE-2025-55163, CVE-2025-32990, CVE-2025-32989, CVE-2025-32988, CVE-2025-32415, CVE-2025-32414, CVE-2025-23166,

CVE-2022-29458.

IBM Software Hub Version 5.2.1

A new version of Decision Optimization was released in August 2025 with IBM Software Hub 5.2.1.

Operand version: 11.1.0

This release includes the following changes:

Customer-reported issues fixed in this release

For a list of customer-reported issues that were fixed in this release, see the Fix List for IBM Cloud Pak for Data on the IBM Support website.

Security issues fixed in this release

The following security issues were fixed in this release:

CVE-2025-7783, CVE-2025-7425, CVE-2025-7339, CVE-2025-6965, CVE-2025-6547, CVE-2025-6545, CVE-2025-6021, CVE-2025-5702, CVE-2025-50181, CVE-2025-49796, CVE-2025-49794, CVE-2025-4949, CVE-2025-48924, CVE-2025-48734, CVE-2025-48060, CVE-2025-4802, CVE-2025-4673, CVE-2025-46653, CVE-2025-4517, CVE-2025-4435, CVE-2025-4373, CVE-2025-4330, CVE-2025-4138, CVE-2025-3576, CVE-2025-31498, CVE-2025-30698, CVE-2025-25724, CVE-2025-24928, CVE-2025-24528, CVE-2025-23167, CVE-2025-23166, CVE-2025-23165, CVE-2025-22871, CVE-2025-22868, CVE-2025-21587, CVE-2025-0938,

CVE-2024-56171, CVE-2024-52533, CVE-2024-47081, CVE-2024-23337, CVE-2024-12718, CVE-2024-12243, CVE-2024-12133,

CVE-2022-49043.

IBM Software Hub Version 5.2.0

A new version of Decision Optimization was released in June 2025 with IBM Software Hub 5.2.0.

Operand version: 11.0.0

This release includes the following changes:

New features

This release of Decision Optimization includes the following features:

Use code snippets to build Decision Optimization experiments faster: When you build Decision Optimization models in the experiment UI, you can now use code snippets for Python DOcplex or OPL models. Using code snippets can make model building faster, because you can add and edit code without having to create all the lines of code.
Include Python packages in Decision Optimization experiments: You can now use PIP requirements.txt files to define custom packages in Python DOcplex models in Decision Optimization experiments. Add library files and packages to your DOcplex model by creating a Python extension in the Decision Optimization experiment UI, and then adding the packages to your PIP requirements.txt file. The packages that are listed in the requirements.txt file are also used when you deploy your model.

Updates

The following updates were introduced in this release:

Python 3.12 is now available: In addition to Python 3.11, you can now use Python 3.12 in your Decision Optimization environment to run and deploy Decision Optimization models that are formulated in DOcplex in Decision Optimization experiments. Modeling Assistant models also use Python because DOcplex code is generated when models are run or deployed.

Customer-reported issues fixed in this release

For a list of customer-reported issues that were fixed in this release, see the Fix List for IBM Cloud Pak for Data on the IBM Support website.

Security issues fixed in this release

The following security issues were fixed in this release:

CVE-2025-47279, CVE-2025-27793, CVE-2025-27789, CVE-2025-27516, CVE-2025-27363, CVE-2025-27152, CVE-2025-26619, CVE-2025-24928, CVE-2025-22872, CVE-2025-22870, CVE-2025-0395,

CVE-2024-8176, CVE-2024-56171, CVE-2024-40635, CVE-2024-2511.

See https://exchange.xforce.ibmcloud.com/ for details.

Deprecated features

The following features were deprecated in this release:

YAML code is deprecated in Decision Optimization experiments: Instead of using YAML code to define custom packages in Python DOcplex models in Decision Optimization experiments, you can now use PIP requirements.txt files.