我想监视算法的进展,以便了解算法的工作时间,我想看到这样的情况
for(i in 1:100) print( paste("iter number",i))
[1] "iter number 1"
[1] "iter number 2"
[1] "iter number 3"
[1] "iter number 4"
[1] "iter number 5"
[1] "iter number 6"
[1] "iter number 7"我试着做这样的事情,但我的柜台没有更新。
i <- 0
fit <- function(x) {
##/// my count
i <- i+1
print( paste("iter number",i))
##////
y <- numeric(2)
y[1] <- crossprod(x, x)
y[2] <- crossprod(x - 5, x - 5)
return (y)
}当我运行优化算法时,我得到以下结果
library(mco)
ns <- nsga2(fit, 2, 2,
generations=150, popsize=100,
lower.bounds=rep(-5, 2),
upper.bounds=rep(10, 2))
[1] "iter number 1"
[1] "iter number 1"
[1] "iter number 1"
[1] "iter number 1"
[1] "iter number 1"
[1] "iter number 1"
[1] "iter number 1"
[1] "iter number 1"
[1] "iter number 1"
[1] "iter number 1"
[1] "iter number 1"
[1] "iter number 1"如何才能正确地做到这一点?
发布于 2022-01-13 14:09:08
正如在评论中所解释的,这里是一个小演示。
这是因为我将只更新在您的函数,而不是以外的您的函数。这就是为什么函数不打印0,而是始终打印1的原因。因为环境的原因。您可以做的是将i <- i+1更改为i <<- i+1,我将在函数之外进行更新。
简单演示
i <- 0
z <- 0
fit <- function() {
i <- i + 1
print(paste("i iter number:", i))
z <<- z + 1 # note the <<- instead of <-
print(paste("z iter number:", z))
}
for(x in 1:3) fit()
[1] "i iter number: 1"
[1] "z iter number: 1"
[1] "i iter number: 1"
[1] "z iter number: 2"
[1] "i iter number: 1"
[1] "z iter number: 3"
i # is still 0
[1] 0
z # is now 3
[1] 3https://stackoverflow.com/questions/70696040
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