| This example implementation calculates the fitness value of Chromosomes
using BooleanAllele implementations. It simply returns a fitness value
equal to the numeric binary value of the bits. In other words, it
optimizes the numeric value of the genes interpreted as bits. It should
be noted that, for clarity, this function literally returns the binary
value of the Chromosome's genes interpreted as bits. However, it would
be better to return the value raised to a fixed power to exaggerate the
difference between the higher values. For example, the difference
between 254 and 255 is only about .04%, which isn't much incentive for
the selector to choose 255 over 254. However, if you square the values,
you then get 64516 and 65025, which is a difference of 0.8% -- twice
as much and, therefore, twice the incentive to select the higher
value.
Parameters:
a_subject - the Chromosome to be evaluated defect rate of our problem
author:
Neil Rotstan
author:
Klaus Meffert
since:
2.0 |
