Usage
simpleEA(task, n.population = 10L, n.offspring = 10L, parent.selector = setupSimpleSelector(), mutator = setupGaussMutator(), recombinator = setupCrossoverRecombinator(), survival.selector = setupTournamentSelector(2L), max.iter = NULL, max.evals = NULL, max.time = NULL, ...)
Arguments
task
[ecr_optimization_task]
Optimization task. If a smoof_function is passed it is automatically
converted into a task.
n.population
[integer(1)]
Population size (mu).
Default is 10.
n.offspring
[integer(1)]
Number of offspring (lambda) generated in each generation.
Default is 10.
parent.selector
[ecr_selector]
Selection operator which implements a procedure to copy individuals from a
given population to the mating pool, i. e., allow them to become parents.
mutator
[ecr_mutator]
Mutation operator of type ecr_mutator.
recombinator
[ecr_recombinator]
Recombination operator of type ecr_recombinator.
survival.selector
[ecr_selector]
Selection operator which implements a procedurce to extract individuals from
a given set, which should survive and set up the next generation.
max.iter
[integer(1)]
Maximal number of iterations. Default ist 100L.
max.evals
[integer(1)]
Maximal number of iterations/generations. Default is Inf.
max.time
[integer(1)]
Time budget in seconds. Default ist Inf.