diff --git a/train.py b/train.py
index bd056686..ec861237 100644
--- a/train.py
+++ b/train.py
@@ -429,15 +429,14 @@ if __name__ == '__main__':
             if os.path.exists('evolve.txt'):  # if evolve.txt exists: select best hyps and mutate
                 # Select parent(s)
                 x = np.loadtxt('evolve.txt', ndmin=2)
-                if len(x) > 1:
-                    parent = 'weighted'  # parent selection method: 'single' or 'weighted'
-                    if parent == 'single':
-                        x = x[fitness(x).argmax()]
-                    elif parent == 'weighted':  # weighted combination
-                        n = min(10, x.shape[0])  # number to merge
-                        x = x[np.argsort(-fitness(x))][:n]  # top n mutations
-                        w = fitness(x) - fitness(x).min()  # weights
-                        x = (x[:n] * w.reshape(n, 1)).sum(0) / w.sum()  # new parent
+                parent = 'weighted'  # parent selection method: 'single' or 'weighted'
+                if parent == 'single' or len(x) == 1:
+                    x = x[fitness(x).argmax()]
+                elif parent == 'weighted':  # weighted combination
+                    n = min(10, x.shape[0])  # number to merge
+                    x = x[np.argsort(-fitness(x))][:n]  # top n mutations
+                    w = fitness(x) - fitness(x).min()  # weights
+                    x = (x[:n] * w.reshape(n, 1)).sum(0) / w.sum()  # new parent
                 for i, k in enumerate(hyp.keys()):
                     hyp[k] = x[i + 7]