Usage
genopt.control(births = 100, random.n = 0, jitters.n = 3, trace = TRUE, eps = 0.1, prob = 0.4, scale.min = 1e-12, maxeval = Inf)
Arguments
births
the number of times two parents are combined to create a
new solution.
random.n
the number of random solutions created (and evaluated)
before the genetic phase starts.
jitters.n
the number of times a newly successful solution is changed
(in the simulated annealing phase)
in an attempt to find a nearby better one.
trace
logical value: should progress be printed?
eps
the default value for the scale of the jittering in
simulated annealing.
prob
in the selection of parameters between two parents, the probability
of each coming from the first parent.
scale.min
the minimum value allowed in the scale argument of
genopt.
maxeval
the maximum number of function evaluations allowed.
This takes previous function calls into account if funevals
is a component of the population argument of
genopt.
Examples
goc1 <- genopt.control(random.n=200, births=1000, trace=FALSE)
go1 <- genopt(function(x, other) sum(x, other),
matrix(rexp(10), nrow=2, ncol=5), lower=0, add.arg=list(other=3),
control=goc1)
goc2 <- genopt.control(random.n=0, births=1000, trace=FALSE)
go2 <- genopt(function(x, other) sum(x, other), go1,
lower=0, add.arg=list(other=3), control=goc2)