refactor update optimization config

src/orchestration_config.json

@@ -33,6 +33,12 @@
     "CRITERIA": {
         "GOAL_EXPRESSION": "evaluation_results['performance'] >= simulation_inputs['user_demand']"
     },
+    "OPTIMIZATION_CONFIG": {
+        "USE_SINGLE_OBJECTIVE": false,
+        "ALGORITHM_NAME": "nsga2",
+        "POP_SIZE": 5,
+        "N_GEN": 2
+    },
     "PLOT_CONFIG": {
         "PLOT_X": "",
         "PLOT_Y": "",

src/orchestration_wrapper.py

@@ -5,10 +5,6 @@ import json
 import os
 from optimize_main import run_optimization
 
-import json
-import os
-from optimize_main import run_optimization
-
 class MOO4ModelicaWrapper:
     def __init__(self, orchestration_config_path, config_path):
         self.orchestration_config_path = orchestration_config_path
@@ -33,6 +29,8 @@ class MOO4ModelicaWrapper:
         self.config['OBJECTIVES'] = self.orchestration_config['OBJECTIVES']
         self.config['PLOT_CONFIG'] = self.orchestration_config['PLOT_CONFIG']
         self.config['N_JOBS'] = self.orchestration_config['N_JOBS']
+        for key, value in self.orchestration_config['OPTIMIZATION_CONFIG'].items():
+            self.config['OPTIMIZATION_CONFIG'][key] = value
 
         with open(self.config_path, 'w') as f:
             json.dump(self.config, f, indent=4)