0.    Individual: has at least two fields:  
		-  chromosome (a string of genes, 
		   such as an array of Boolean or a String of bits) and 
        -  fitness (a scalar value, such as a real number)

1.    Create an initial population POP of POPSIZE individuals  Gen Num := 0

2.    Evaluate each individual in POP (suing BlackBox objective function).


3.    Apply SELECTION to attain a NEWPOP.  Can use Tournament Selection:

      For i = 1 to POSIZE by 1
        {
           Select two individuals A and B at random, from POP.
           Compare the fitnesses of A and B.  Put a COPY of the
            higher fit individual into NEWPOP.  If a tie, select
            winner at random.
         }
         
      POP := NEWPOP  

4.   Apply CROSSOVER to obtain NEWPOP.  Use single point crossover:

     For i = 1 to POSIZE by 2
        {
           Select two individuals A and B at random, from POP.
           With probability p_c, cross them as follows: 
               Pick a random crossover pt. CPbetween 0 and chrom_length.
               Copy bits before CP from parent A into child A' and from parent B into child B'
               Copy bits after CP from parent A into child B' and from parent B into child A'
           (so with prob. 1-p_c, do not cross.  Just copy A to A', and B to B')
         }
         
      POP := NEWPOP  

5.   Apply MUTATION to obtain NEWPOP.  Use single bit flip:

     For i = 1 to POSIZE by 1
        {
           Select one individuals A at random, from POP.
           For(j = 0 to chrom_length by 1)
              {  
                With probability p_m, mutate chromosome[j] by flipping 0 to 1 or 1 to 0. 
               }
         }
         
      POP := NEWPOP  
      
6.   Gen_Num ++
7.   If (Gen_Num < MAX_GENS) goto (1.)