More accurate benchmarks

benchmark.jl

@@ -14,7 +14,7 @@ t = @benchmark(fullRun(3,
         ncyclesperiteration=100,
         fractionReplaced=0.1f0,
         verbosity=0
-       ), evals=5)
+       ), evals=10)
 
 tnoanneal = @benchmark(fullRun(3,
         npop=100,
@@ -22,7 +22,7 @@ tnoanneal = @benchmark(fullRun(3,
         ncyclesperiteration=100,
         fractionReplaced=0.1f0,
         verbosity=0
-       ), evals=5)
+       ), evals=10)
 
 println("The median time is $(median(t)) with annealing, $(median(tnoanneal)) without")
 

benchmarktimes.txt

@@ -5,3 +5,4 @@ The median time is TrialEstimate(985.015 ms) with annealing, TrialEstimate(857.9
 The median time is TrialEstimate(690.542 ms) with annealing, TrialEstimate(581.777 ms) without
 The median time is TrialEstimate(298.679 ms) with annealing, TrialEstimate(327.586 ms) without
 The median time is TrialEstimate(336.991 ms) with annealing, TrialEstimate(341.092 ms) without
+The median time is TrialEstimate(302.600 ms) with annealing, TrialEstimate(308.811 ms) without