2.6 MuGA
In addition to the parameters of each of the previous operators,
MuGA algorithm (Algorithm 1), has three parameters more: the
problem to be solved (problem); the number of MI in the parents’
population (n), the number of individuals in the mating population
(m). The evolutionary process starts with the generation and
evaluation of n random MI of the problem. All MI have different
genotypes, by definition, and the number of copies is set to one.