Nothing
gaRoth<- function(
w_1h = range(SFM_metric[,-1][,1]),
w_10h = range(SFM_metric[,-1][,2]),
w_100h = range(SFM_metric[,-1][,3]),
w_Live_Herb = range(SFM_metric[,-1][,4]),
w_Live_Woody = range(SFM_metric[,-1][,5]),
s_1h = range(SFM_metric[,-1][,6]),
s_10h = range(SFM_metric[,-1][,7]),
s_100h = range(SFM_metric[,-1][,8]),
s_Live_Herb = range(SFM_metric[,-1][,9]),
s_Live_Woody = range(SFM_metric[,-1][,10]),
delta = range(SFM_metric[,-1][,11]),
mx.dead = range(SFM_metric[,-1][,12]),
h_1h = range(SFM_metric[,-1][,13]),
h_10h = range(SFM_metric[,-1][,14]),
h_100h = range(SFM_metric[,-1][,15]),
h_Live_Herb = range(SFM_metric[,-1][,16]),
h_Live_Woody = range(SFM_metric[,-1][,17]),
m, u, slope, modeltype, obs,
method="rmse", maxiter=50, popSize = 20, pcrossover = 0.8,
pmutation = 0.1, elitism = base::max(1, round(popSize * 0.05)),
...) {
SFM_metric<-get (data (SFM_metric,envir = environment ()))
ga.min = c(w_1h[1], w_10h[1], w_100h[1], w_Live_Herb[1], w_Live_Woody[1], s_1h[1], s_10h[1], s_100h[1], s_Live_Herb[1], s_Live_Woody[1], delta[1], mx.dead[1], h_1h[1], h_10h[1], h_100h[1], h_Live_Herb[1], h_Live_Woody[1] )
ga.max = c(w_1h[2], w_10h[2], w_100h[2], w_Live_Herb[2], w_Live_Woody[2], s_1h[2], s_10h[2], s_100h[2], s_Live_Herb[2], s_Live_Woody[2], delta[2], mx.dead[2], h_1h[2], h_10h[2], h_100h[2], h_Live_Herb[2], h_Live_Woody[2] )
true=obs
if(length(true) ==1) {stop("More than 1 ROS observation is needed")}
fitness <- function (PAR) -error (forecast=unlist(ros(
w=PAR[1:5],s=PAR[6:10],delta=PAR[11],mx.dead=PAR[12],h=PAR[13:17],
m=m, u=u, slope=slope,modeltype=modeltype)[15]),
true=true, method=method)
ga (type = "real-valued",
fitness=fitness,
popSize=popSize,
pcrossover=pcrossover,
pmutation=pmutation,
elitism=elitism,
min=ga.min,
max=ga.max,
maxiter=maxiter,
names = c("w_1h", "w_10h", "w_100h", "w_Live_Herb", "w_Live_Woody", "s_1h", "s_10h", "s_100h", "s_Live_Herb", "s_Live_Woody", "delta", "mx.dead", "h_1h", "h_10h", "h_100h", "h_Live_Herb", "h_Live_Woody"),
...)
}
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