diff --git a/learnware/reuse/ensemble_pruning.py b/learnware/reuse/ensemble_pruning.py
index d20664c..ab86c66 100644
--- a/learnware/reuse/ensemble_pruning.py
+++ b/learnware/reuse/ensemble_pruning.py
@@ -1,8 +1,6 @@
 import torch
 import random
 import numpy as np
-import geatpy as ea
-
 from typing import List
 
 from learnware.learnware import Learnware
@@ -55,6 +53,8 @@ class EnsemblePruningReuser(BaseReuser):
         np.ndarray
             Binary one-dimensional vector, 1 indicates that the corresponding model is selected.
         """
+        import geatpy as ea
+
         model_num = v_predict.shape[1]
 
         @ea.Problem.single
@@ -139,6 +139,8 @@ class EnsemblePruningReuser(BaseReuser):
         np.ndarray
             Binary one-dimensional vector, 1 indicates that the corresponding model is selected.
         """
+        import geatpy as ea
+
         model_num = v_predict.shape[1]
 
         def find_top_two_freq(row):
@@ -253,6 +255,8 @@ class EnsemblePruningReuser(BaseReuser):
         np.ndarray
             Binary one-dimensional vector, 1 indicates that the corresponding model is selected.
         """
+        import geatpy as ea
+
         model_num = v_predict.shape[1]
         v_predict[v_predict == 0.0] = -1
         v_true[v_true == 0.0] = -1
diff --git a/setup.py b/setup.py
index 05c9681..7144375 100644
--- a/setup.py
+++ b/setup.py
@@ -54,7 +54,6 @@ REQUIRED = [
     "numpy>=1.20.0",
     "pandas>=0.25.1",
     "scipy>=1.0.0",
-    "matplotlib>=3.1.3",
     "torch>=1.11.0",
     "cvxopt>=1.3.0",
     "tqdm>=4.65.0",
@@ -67,7 +66,6 @@ REQUIRED = [
     "torchvision>=0.14.1",
     "sqlalchemy>=2.0.21",
     "shortuuid>=1.0.11",
-    "geatpy>=2.7.0",
     "docker>=6.1.3",
     "rapidfuzz>=3.4.0",
     "sentence_transformers>=2.2.2",