Changeset 263

Timestamp:

12/10/14 14:08:12 (10 years ago)

Author:

Maciej Komosinski

Message:

Added a comment explaining the custom fitness function

File:

• experiments/frams/evolve-speed-vs-gravity/data/scripts/evolve-speed-vs-gravity.script (modified) (2 diffs)

experiments/frams/evolve-speed-vs-gravity/data/scripts/evolve-speed-vs-gravity.script

@@ -9 +9 @@
         Populations[0].perfperiod=100000; //fitness: velocity serves as distance (because sampling period is longer than lifespan)
         ExpParams.initialgen="XX[|,1:1][N,1:1,2:1][T][G]";
-        GenePools[0].fitness="""function penalty(count)
+        
+        //custom fitness function: velocity minus small penalty for complexity (high number of parts, joints, neurons, connections)
+        GenePools[0].fitness="""
+ var MAX_WITHOUT_PENALTY=50;
+ function penalty(count)
  {
- var toomany=count-50;
+ var toomany=count-MAX_WITHOUT_PENALTY;
  if (toomany<=0) return 0; else return -toomany*0.001;
  }
@@ -34 +38 @@
         while (Simulator.running && best.popsiz<min_evaluations) //repeat until the best genotype will be evaluated at least min_evaluations times
         {
-                for(var t=best.lifespan; t>0 && Simulator.running; t--)
-                        Simulator.step(); // simulate 'expected lifespan' steps after which 'best' may have changed. This helps avoid too frequent calls to best()
+                for(var t=best.lifespan; t>0 && Simulator.running; t--) // simulate 'expected lifespan' steps after which 'best' may have changed. This helps avoid frequent unnecessary calls to best()
+                        Simulator.step();
                 best=GenePools[0].best();
         }