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 - Added a GitHub Actions workflow for posting a PR preview comment with a link to the documentation preview [#272](https://github.com/EarthyScience/EasyHybrid.jl/pull/272)
 
 ## v0.2.0 - 2026-06-16
+- Integrated Optimization.jl to support advanced solvers like L-BFGS, enabling both full-batch and minibatch training strategies. [#267](https://github.com/EarthyScience/EasyHybrid.jl/pull/267)
+- Per-Branch Optimizers: Enabled per-parameter/per-branch optimizer configurations using Optimisers.jl, allowing for more granular control over training dynamics. [#267](https://github.com/EarthyScience/EasyHybrid.jl/pull/267)
+- Added L2 regularization support for model weights and introduced utility functions for weight extraction and norm calculation. [#267](https://github.com/EarthyScience/EasyHybrid.jl/pull/267)
+- Improved YAML configuration saving to include parameter bounds and the full source code of mechanistic models for better reproducibility. [#267](https://github.com/EarthyScience/EasyHybrid.jl/pull/267)
+- Corrected data processing for MultiNNHybridModel, including better sequence filtering and support for multi-branch neural network architectures. [#267](https://github.com/EarthyScience/EasyHybrid.jl/pull/267)
 - Sets fetch-depth 0 so that we can have access to the git history in the docs [#253](https://github.com/EarthyScience/EasyHybrid.jl/pull/253)
 - Adds an option to save the full history or not, and always saving the best snapshot [#251](https://github.com/EarthyScience/EasyHybrid.jl/pull/251)
 - Refactored the train function into smaller functions [#249](https://github.com/EarthyScience/EasyHybrid.jl/pull/249)