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Hi
I am new and interested in studying GA with R. I have a question regarding the "vars" in your script.
custom_fitness <- function(vars, data_x, data_y, p_sampling)
{
speeding up things with sampling
ix=get_sample(data_x, percentage_tr_rows = p_sampling)
data_2=data_x[ix,]
data_y_smp=data_y[ix]
keep only vars from current solution
names=colnames(data_2)
names_2=names[vars==1]
.
.
.
ga_GA_1 = ga(fitness = function(vars) custom_fitness(vars = vars,
data_x = data_x,
.
.
.
Could you please explain to me what vars look like? Would you mind showing me the structure of vars as the input when you pass the fitness = function(vars)
Is it the first row in the data_x? or the first column in data_x? or the entire data of data_x at a particular generation? or something else?
Best regards,
Khoiri
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