We're excited to announce the release of “EvoX v1.2.0”, packed with new features, improvements, and important bug fixes!

This update enhances the framework's flexibility and performance across key modules.


Highlights:

 Added `final_step()` and updated `hpo_wrapper` and `std_workflow` for smoother execution workflows.

-  Introduced the“Mujoco Playground” – a new environment for reinforcement learning experiments.

-  Released a brand-new [tutorial](https://evox.readthedocs.io/en/latest/tutorial/)to help users get up to speed quickly.

-  Added new EvoX extension functions, enabling better integration with sister projects like [EvoMO](https://github.com/EMI-Group/evomo/).

-  Various bug fixes and documentation updates for better stability and clarity.


 Related Pull Requests:

- Docstring updates for MOEAs – [#230](https://github.com/EMI-Group/evox/pull/230) (@Zhenyu2Liang)  

- `vmap` fix in `hpo_wrapper.py` – [#232](https://github.com/EMI-Group/evox/pull/232)(@starquakee)  

-  Added RVEAa and improved DTLZ, IGD, RVEA support – [#231](https://github.com/EMI-Group/evox/pull/231)(@XU-Boqing)  

- `final_step()` updates in workflow modules – [#233](https://github.com/EMI-Group/evox/pull/233) (@XU-Boqing)  

-  Mujoco Playground environment – [#234](https://github.com/EMI-Group/evox/pull/234) (@Nam-dada)  

-  Documentation refinements – [#235](https://github.com/EMI-Group/evox/pull/235)(@Zhenyu2Liang)  

-  Bug fixes for Mujoco Playground – [#236](https://github.com/EMI-Group/evox/pull/236) (@Nam-dada)  

-  New user tutorial – [#237](https://github.com/EMI-Group/evox/pull/237) (@BillHuang2001)


“Full Changelog”: [v1.1.2 → v1.2.0](https://github.com/EMI-Group/evox/compare/v1.1.2...v1.2.0)


Open Source Code / Community Resources

Paper:

https://arxiv.org/abs/2503.20286

GitHub:

https://github.com/EMI-Group/evomo

Upstream Project (EvoX):

https://github.com/EMI-Group/evox

QQ Group: 297969717

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                                                                                                       QQ Group | Evolving Machine Intelligence


EvoMO is built upon the EvoX framework. If you are interested in learning more about EvoX, feel free to check out the official article on EvoX 1.0 published on our WeChat public account for further details.



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 (https://mp.weixin.qq.com/s/uT6qSqiWiqevPRRTAVIusQ)