From: ted.dunning@gmail.com   
      
   On Mar 25, 6:33 am, "hegal...@gmail.com"  wrote:   
   > I donot agree that fitness has to be scalar. In fact, it is when   
   > either you are evaluating single objectively or weighted vevctor of   
   > multiple values. This is not true for most of the real world problems.   
   > A more intuitive way is to design a multiple objective vector which   
   > can be used to evaluate choromosomes. This is what multiobjective EC   
   > about. The "probability of passing genetic information to later   
   > generations" can be decided by the comparisons of all objectives in a   
   > dominating/non-dominating way. Optimization doesnt have to be within   
   > one-dimension also, i.e. in the case of single objective.   
   >   
      
   Probabilities are inherently scalar.  That really isn't a matter of   
   debate.  As such, evolutionary algorithms are computing the fixed   
   point of a Markov process   
      
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