Documentation.md

@@ -12,42 +12,43 @@ For using GenIe standalone, you can specify an exec call for the fitness functio
 2. Metadata from the top N elite candidate vectors of the parent population (Json)
 3. A random pick of the elite metadata list or nothing ('nothing' is a valid pick) (Json)
 4. The current generation/epoch index
+5. If the current candidate is an elite candidate from the former population/epoch: the former score
+6. If the current candidate is an elite candidate from the former population/epoch: the former metadata
 
 All is simply as returned from the parents fitness function invocation.
 
 Following an example of a stdInd json structure a fitness function call will receive:
 ```json
 {
-  "generation": 7,
-  "candidateVectorParamNames": ["summandA","summandB","summandC","summandD"],
-  "candidateVector": ["2","0","0","0"],
+  "generation": 2,
+  "candidateFormerScore": 0.7426,
+  "candidateFormerMetadata": {
+    "shellVarNameExample": "shellVarValueExample",
+    "score": "0.7426"
+  },
+  "candidateVectorParamNames": [
+    "summandA","summandB","summandC","summandD"
+  ],
+  "candidateVector": ["7","25","0","25"],
   "parentsMetadata": [
     {
       "shellVarNameExample": "shellVarValueExample",
-      "score": "0"
+      "score": "0.5492"
     },
     {
       "shellVarNameExample": "shellVarValueExample",
-      "score": "0"
+      "score": "0.6534"
     }
   ],
   "eliteMetadata": [
     {
       "shellVarNameExample": "shellVarValueExample",
-      "score": "1"
-    },
-    {
-      "shellVarNameExample": "shellVarValueExample",
-      "score": "1"
-    },
-    {
-      "shellVarNameExample": "shellVarValueExample",
-      "score": "1"
+      "score": "0.7426"
     }
   ],
   "selectedEliteMetadata": {
     "shellVarNameExample": "shellVarValueExample",
-    "score": "1"
+    "score": "0.7426"
   }
 }
 ```