'0504'

Author: smasky

UQPyL/optimization/multi_objective/moea_d.py

@@ -82,8 +82,7 @@ def run(self, problem):
         self.setProblem(problem)
 
         # Initialize termination conditions
-        self.FEs = 0
-        self.iters = 0
+        self.FEs = 0; self.iters = 0; self.tolerateTimes = 0
 
         # Determine the number of neighbors
         T = math.ceil(nPop / 10)

UQPyL/optimization/multi_objective/nsga_ii.py

@@ -84,7 +84,7 @@ def run(self, problem):
         self.setProblem(problem)
 
         # Initialize termination conditions
-        self.FEs = 0; self.iters = 0
+        self.FEs = 0; self.iters = 0; self.tolerateTimes = 0
 
         # Generate initial population
         pop = self.initialize(nPop)

UQPyL/optimization/multi_objective/nsga_iii.py

@@ -87,7 +87,7 @@ def run(self, problem):
         Z, nPop = uniformPoint(nPop, problem.nOutput)
 
         # Initialize termination conditions
-        self.FEs = 0; self.iters = 0
+        self.FEs = 0; self.iters = 0; self.tolerateTimes = 0
 
         # Generate initial population
         pop = self.initialize(nPop)

UQPyL/optimization/multi_objective/rvea.py

@@ -82,7 +82,7 @@ def run(self, problem):
         self.setProblem(problem)
 
         # Initialize termination conditions
-        self.FEs = 0; self.iters = 0
+        self.FEs = 0; self.iters = 0; self.tolerateTimes = 0
 
         # Generate initial reference vectors
         V0, nPop = uniformPoint(nPop, problem.nOutput)

UQPyL/optimization/result.py

@@ -107,7 +107,7 @@ def _update_MOEA(self, pop, FEs, iter, problem):
         self.bestObjs = localBestObjs
 
         self.bestTrueObjs = localBestObjs * opt
-        self.bestTrueDecs = problem._transform_to_I_D(localBestDecs, IFlag = False, DFlag = False)
+        self.bestTrueDecs = problem._transform_to_I_D(localBestDecs, IFlag = True, DFlag = True)
 
         self.bestCons = localBestCons
         self.bestFeasible = localBestFeasible