Given a list of elite training sets, list of candidates the function makes npop new solutions by using crossover and mutation operators.
GenerateCrossesfromElites(Elites, Candidates, npop, mutprob, mc.cores = 1,
mutintensity = 1, memoryfortabu = NULL)a list of elite training sets
a vector of identifiers of the individuals in the candidate set.
number of training sets to generate.
point mutation probability for each individual generated. Only one mutation per solution is allowed.
number of cores to use.
mean of the poisson variable that is used to decide the number of mutations for each cross.
tabu memory
A list of npop training sets.