From 3e2bf16fd7ab0f6ea8bc5c2ed8b5ebe22a85d4ca Mon Sep 17 00:00:00 2001
From: Smasky <492109831@qq.com>
Date: Tue, 7 May 2024 15:02:58 +0800
Subject: [PATCH] 'v2.0.2'

---
 UQPyL/optimization/asmo.py    | 2 +-
 UQPyL/optimization/mo_asmo.py | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/UQPyL/optimization/asmo.py b/UQPyL/optimization/asmo.py
index 476dbbf5..f6317706 100644
--- a/UQPyL/optimization/asmo.py
+++ b/UQPyL/optimization/asmo.py
@@ -94,7 +94,7 @@ def run(self,maxFE=1000, Tolerate=0.001, maxTolerateTime=50, oneStep=False):
         else:
             self.surrogate.fit(XPop, YPop)
             res=SCE_UA(self.subProblem).run()
-            BestX_SM=res['best_decs']
+            BestX_SM=res['best_dec']
             
             TempY=self.evaluate(BestX_SM)
             
diff --git a/UQPyL/optimization/mo_asmo.py b/UQPyL/optimization/mo_asmo.py
index eee9c428..55692f12 100644
--- a/UQPyL/optimization/mo_asmo.py
+++ b/UQPyL/optimization/mo_asmo.py
@@ -101,8 +101,8 @@ def run(self):
             nsga_ii=NSGAII(self.subProblem, self.n_pop)
             #main optimization
             Result=nsga_ii.run()
-            BestX=Result['pareto_X']
-            BestY=Result['pareto_Y']
+            BestX=Result['pareto_x']
+            BestY=Result['pareto_y']
             CrowdDis=Result['crowdDis']
             
             if self.advance_infilling==False: