diff --git a/README.md b/README.md
index 860616cd..6c7e23b9 100644
--- a/README.md
+++ b/README.md
@@ -19,9 +19,10 @@ SIATune is an open-source deep learning model hyperparameter tuning toolbox espe
 - **Support hyperparameter search algorithms**
 
   We provide hyperparameter search algorithms such as below;
-  - [x] [Nevergrad](https://github.com/facebookresearch/nevergrad)
-  - [x] [HyperOpt](https://github.com/hyperopt/hyperopt)
   - [x] [FLAML](https://github.com/microsoft/FLAML)
+  - [x] [HyperOpt](https://github.com/hyperopt/hyperopt)
+  - [x] [Nevergrad](https://github.com/facebookresearch/nevergrad)
+  - [x] [Optuna](https://github.com/optuna/optuna)
   - [ ] [Adaptive Experimentation (AX)](https://ax.dev/)
   - [ ] [Scikit-optimize](https://github.com/scikit-optimize/scikit-optimize)
 
diff --git a/configs/_base_/searcher/optuna.py b/configs/_base_/searcher/optuna.py
new file mode 100644
index 00000000..8b712131
--- /dev/null
+++ b/configs/_base_/searcher/optuna.py
@@ -0,0 +1 @@
+searcher = dict(type='OptunaSearch')
diff --git a/tests/test_hyper_optim/test_searchers.py b/tests/test_hyper_optim/test_searchers.py
index 0eef59fe..ae5a5a79 100644
--- a/tests/test_hyper_optim/test_searchers.py
+++ b/tests/test_hyper_optim/test_searchers.py
@@ -89,3 +89,13 @@ def test_nevergrad(trainable, config):
             dict(type='NevergradSearch', optimizer='PSO', budget=1)),
         num_samples=2,
         config=config)
+
+
+def test_optuna(trainable, config):
+    tune.run(
+        trainable,
+        metric='mean_loss',
+        mode='min',
+        search_alg=build_searcher(dict(type='OptunaSearch')),
+        num_samples=2,
+        config=config)