bugfix to rebuild_platypus_population

ema_workbench/em_framework/optimization.py

@@ -767,6 +767,7 @@ def epsilon_nondominated(results, epsilons, problem):
     Returns
     -------
     DataFrame
+
     Notes
     -----
     this is a platypus based alternative to pareto.py (https://github.com/matthewjwoodruff/pareto.py)
@@ -872,13 +873,30 @@ def rebuild_platypus_population(archive, problem):
     list of platypus Solutions
 
     """
+
+    if len(archive.columns) != problem.nvars + problem.nobjs:
+        raise EMAError(
+            "the number of columsn in the archive don't match the expected"
+            " number of decision variables and objectives"
+        )
+
     solutions = []
     for row in archive.itertuples():
-        decision_variables = [getattr(row, attr) for attr in problem.parameter_names]
-        objectives = [getattr(row, attr) for attr in problem.outcome_names]
+        try:
+            decision_variables = [getattr(row, attr) for attr in problem.parameter_names]
+        except AttributeError as e:
+            raise EMAError("parameter name not found in archive")
+
+        try:
+            objectives = [getattr(row, attr) for attr in problem.outcome_names]
+        except AttributeError as e:
+            raise EMAError("outcome name not found in archive'")
 
         solution = Solution(problem)
-        solution.variables = decision_variables
+        solution.variables = [
+            platypus_type.encode(value)
+            for platypus_type, value in zip(problem.types, decision_variables)
+        ]
         solution.objectives = objectives
         solutions.append(solution)
     return solutions