SPOT (version 2.11.10)

optimGenoud: Minimization by GENetic Optimization Using Derivatives

Description

For minimization, this function uses the "genoud" method from the codergenoud package. It is basically a wrapper, to enable genoud for usage in SPOT.

Usage

optimGenoud(x = NULL, fun, lower, upper, control = list(), ...)

Arguments

x

optional start point, not used

fun

objective function, which receives a matrix x and returns observations y

lower

boundary of the search space

upper

boundary of the search space

control

list of control parameters

funEvals

Budget, number of function evaluations allowed. Default is 100.

populationSize

Population size, number of individuals in the population. Default is 10*dimension.

...

passed to fun

Value

list, with elements

x

NULL, currently not used

y

NULL, currently not used

xbest

best solution

ybest

best observation

count

number of evaluations of fun

Examples

# NOT RUN {
res <- optimGenoud(,fun = funSphere,lower = c(-10,-20),upper=c(20,8))
res$ybest
# }