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Update README #241

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Zhenyu2Liang May 26, 2025
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Expand Up @@ -47,6 +47,7 @@

## 🔥 News
- [2025-05-13] Released **EvoX 1.2.1** - 🚀 EvoX v1.2.1 release is now available, featuring the new Mujoco Playground and an official tutorial! [[Details](https://evox.group/index.php?m=home&c=View&a=index&aid=157)]
- [2025-05-13] Released **EvoMO 0.2.0**: A GPU-accelerated library for **Evolutionary Multiobjective Optimization**. [[Paper](https://arxiv.org/abs/2503.20286)] [[Code](https://github.com/EMI-Group/evomo)]
- [2025-02-03] Released **EvoRL**: A GPU-accelerated framework for **Evolutionary Reinforcement Learning**, powered by **JAX** ! [[Paper](https://arxiv.org/abs/2501.15129)] [[Code](https://github.com/EMI-Group/evorl)]
- [2025-01-30] Released **EvoGP**: A GPU-accelerated framework for **Genetic Programming**, powered by **PyTorch** & **CUDA**! [[Paper](http://arxiv.org/abs/2501.17168)] [[Code](https://github.com/EMI-Group/evogp)]
- [2025-01-14] Released **EvoX 1.0.0** - now fully compatible with **PyTorch**, with full `torch.compile` support! Users of the previous **JAX-based version** can access it on the **v0.9.0 branch**.
Expand Down Expand Up @@ -224,7 +225,6 @@ Solve the DTLZ2 problem using the RVEA algorithm:
```python
import torch
from evox.algorithms import RVEA
from evox.metrics import igd
from evox.problems.numerical import DTLZ2
from evox.workflows import StdWorkflow, EvalMonitor

Expand Down Expand Up @@ -331,10 +331,10 @@ monitor.plot() # or monitor.plot().show() if you are using headless mode
> For comprehensive guidance, please visit our [Documentation](https://evox.readthedocs.io/en/latest/), where you'll find detailed installation steps, tutorials, practical examples, and complete API references.

## Sister Projects
- **EvoRL**:GPU-accelerated framework for Evolutionary Reinforcement Learning. Check out [here](https://github.com/EMI-Group/evorl).
- **EvoGP**:GPU-accelerated framework for Genetic Programming. Check out [here](https://github.com/EMI-Group/evogp).
- **EvoRL**: GPU-accelerated framework for Evolutionary Reinforcement Learning. Check out [here](https://github.com/EMI-Group/evorl).
- **EvoGP**: GPU-accelerated framework for Genetic Programming. Check out [here](https://github.com/EMI-Group/evogp).
- **EvoMO**: GPU-accelerated library for Evolutionary Multiobjective Optimization (EMO).Check out [here](https://github.com/EMI-Group/evomo).
- **TensorNEAT**: Tensorized NeuroEvolution of Augmenting Topologies (NEAT) for GPU Acceleration. Check out [here](https://github.com/EMI-Group/tensorneat).
- **TensorRVEA**: Tensorized Reference Vector Guided Evolutionary Algorithm (RVEA) for GPU Acceleration. Check out [here](https://github.com/EMI-Group/tensorrvea).
- **TensorACO**: Tensorized Ant Colony Optimization (ACO) for GPU Acceleration. Check out [here](https://github.com/EMI-Group/tensoraco).
- **EvoXBench**: A real-world benchmark platform for solving various optimization problems, such as Neural Architecture Search (NAS). It operates without the need for GPUs/PyTorch/TensorFlow and supports multiple programming environments. Check out [here](https://github.com/EMI-Group/evoxbench).

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