GenerateCrossesfromElites {STPGA} | R Documentation |
Generate crosses from elites
Description
Given a list of elite training sets, list of candidates the function makes npop new solutions by using crossover and mutation operators.
Usage
GenerateCrossesfromElites(Elites, Candidates, npop, mutprob, mc.cores = 1,
mutintensity = 1, memoryfortabu = NULL)
Arguments
Elites |
a list of elite training sets |
Candidates |
a vector of identifiers of the individuals in the candidate set. |
npop |
number of training sets to generate. |
mutprob |
point mutation probability for each individual generated. Only one mutation per solution is allowed. |
mc.cores |
number of cores to use. |
mutintensity |
mean of the poisson variable that is used to decide the number of mutations for each cross. |
memoryfortabu |
tabu memory |
Value
A list of npop training sets.
Author(s)
Deniz Akdemir
[Package STPGA version 5.2.1 Index]