selTournamentMO | R Documentation |
k individuals are chosen randomly and the best one
is chosen. This process is repeated n.select
times.
Choice is primarily by dominated sorting
and secondarily by either dominated hypervolume
or crowding distance, depending on sorting
.
Ties are broken randomly by adding random noise of relative magnitude
.Machine$double.eps * 2^10
to points.
selTournamentMO( fitness, n.select, sorting = "crowding", ref.point, k = 2, return.unique = FALSE )
fitness |
|
n.select |
|
sorting |
|
ref.point |
|
k |
|
return.unique |
|
[integer]
vector of selected individuals.
Other Selectors:
selSimpleUnique()
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