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Table 4 Rule sets evolved for the 1st network instance, shown with [performance estimate, fitness]

From: Evolution of control with learning classifier systems

Set 1

Set 2

Set 3

Set 4

Set 5

##### : 1 [94.67/0.9031]

##### : 3 [106.62/0.9998]

##### : 2 [101.2/0.9999]

##### : 2 [102.59/0.9999]

##### : 1 [106.46/0.9691]

##### : 2 [96.39/0.999]

##### : 1 [100.4/1]

##### : 1 [104.67/0.9999]

##### : 3 [101.54/1]

##### : 3 [106.86/0.9907]

##### : 3 [95.01/0.9968]

##### : 2 [97.51/1]

##### : 3 [101.57/1]

##### : 1 [98.45/0.9994]

##### : 2 [105.79/0.9885]

####0 : 5 [103.31/0.8209]

###0# : 0 [100.08/0.8696]

####1 : 0 [98.06/0.8865]

####1 : 0 [104.46/0.9143]

####1 : 0 [110.8/0.9087]

####1 : 0 [101/0.8834]

###1# : 4 [99.61/0.6823]

###0# : 0 [104.69/0.878]

###0# : 0 [98.97/0.9045]

###0# : 0 [99.03/0.9037]

###0# : 0 [98.82/0.8742]

####1 : 0 [104.48/0.8532]

####0 : 5 [106.82/0.6445]

###1# : 4 [101.47/0.6664]

####0 : 5 [107.1/0.7033]

###1# : 4 [100.56/0.5989]

####0 : 5 [102.1/0.6612]

###1# : 4 [108.2/0.6296]

####0 : 5 [100.98/0.7138]

###1# : 4 [102.56/0.6743]

####1 : 4 [97.87/0.4512]

####1 : 4 [100.21/0.3237]

###0# : 5 [105.84/0.3973]

####1 : 4 [99.05/0.3768]

###0# : 5 [98.76/0.3346]

##### : 0 [135.11/0.0642]

###0# : 5 [100.38/0.3645]

####1 : 4 [104.92/0.409]

##### : 5 [114.67/0.077]

####1 : 4 [98.63/0.3579]

##### : 4 [117.54/0.0547]

##### : 0 [173.14/0.0583]

##### : 0 [178.02/0.0632]

###0# : 5 [99.32/0.2865]

##### : 5 [116.26/0.0925]

 

##### : 4 [109.75/0.0622]

##### : 5 [126.9/0.0724]

##### : 0 [158.1/0.0458]

##### : 4 [118.29/0.0599]

 

##### : 5 [127.45/0.0594]

 

##0## : 4 [120.77/0.0474]

##### : 0 [225.99/0.0472]

 

##0## : 0 [173.14/0.0399]

   
 

0#### : 5 [127.45/0.0505]

   
 

0#### : 0 [173.14/0.0342]

   
 

##0## : 5 [127.45/0.0375]

   
 

#0### : 0 [173.14/0.0279]