I am going to read a csv file including of the transactions for number of items and 
find the frequent itemsets out using a genetic algorithm approach. 
Well, as I found in the tutorials ECJ creates number of genomes and evaluate it 
by an individual to find how the genome(s) is(are) fitted to the target individual.

There are number of questions:

1- Is it possible to have number of individuals?
2- if yes, then: How do the genomes should be evaluated with a number of 
transactions (individuals) of the itemsets?
3- How I can change the output to print the most fitted genome in each 
generation.

I would appreciate if you help me to find a fast and simple approach/algorithm to 
implement this on ECJ framework.