| 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]