<P> A Feature Selection operator.This operator uses a genetic algorithm to select 
  a subset of <I>TheAttributes</I>. It calls C4.5 to evaluate the individuals 
  of the genetic population. <I>TheTargetAttribute</I> specifies which attribute 
  is the target attribute for the learning algorithm whose performance is used 
  to select the best feature subset. <I>PopDim</I> gives the size of the population 
  for the genetic algorithm. <I>StepNum</I> gives the number of generations. The 
  probabilities of mutation and crossover are specified with <I>ProbMut</I> and 
  <I>ProbCross</I>. <BR>
  <BR>
<P>
PARAMETERDESCRIPTION
TheInputConcept:inherited
TheAttributes:&nbsp;
SampleSize:positive integer
PopDim:positive integer; try 30
StepNum:positive integer; try 20
ProbMut:real between 0 and 1; try 0.001
ProbCross:real between 0 and 1; try 0.9
TheOutputConcept:inherited
