argument 0 = loopoptims  argument 1 = rice.fis  argument 2 = rice  argument 3 = -ns  argument 4 = 0  argument 5 = -s  argument 6 = 102  argument 7 = -b  argument 8 = optimfis  argument 9 = -in  argument 10 = 1  argument 11 = -nc  argument 12 = 0.2  
 1 inputs found:
inputs to optimize: 1 

------------
Data file name rice
------------
------------
Output FIS file name optimfis-final.fis
------------
perfinit (before normalization)=0.056964

2 loop iterations for optimizing
-------------------------
Iteration 1, sample 0
------------------------

--------------------
optimizing inputs
--------------------
NearConstraint=0.200000

optimizing fuzzy input 1
Key:  11111

outputFisConfigName=optimfis-input-1+ There is a better FIS ( ( Normed ) perf 0.054837 ) after the input optimisation  
+In CallOptim reponse=1, perf(norm)=0.054837
+ Rel. gain: 0.037342
-------------------------
Iteration 2, sample 0
------------------------

--------------------
optimizing inputs
--------------------
NearConstraint=0.200000

optimizing fuzzy input 1
Key:  11111

outputFisConfigName=optimfis-input-1-1In CallOptim reponse=0, perf(norm)=1000000.000000
no better FIS
+ Rel. gain: 0.037342
 FIS=optimfis-final.fis Dataset=rice Perf init=0.0569645 Perf opt=0.054835 Rel. gain=0.037383
***********************
FIS opt END
