RosettaCodeData/Task/Evolutionary-algorithm/Julia/evolutionary-algorithm-1.julia

23 lines
978 B
Plaintext

function evolve(parent::String, target::String, mutrate::Float64, nchild::Int)
fitness(a, b::String=target) = count(l == t for (l, t) in zip(a, b))
function mutate(str::String, rate::Float64=mutrate)
L = split(" ABCDEFGHIJKLMNOPQRSTUVWXYZ", "")
r = collect(rand() < rate ? rand(L) : c for c in str)
return string(r...)
end
println("Initial parent is $parent, its fitness is $(fitness(parent))")
gens = 0
while parent != target
children = collect(mutate(parent, mutrate) for i in 1:nchild)
bestfit, best = findmax(fitness.(children))
parent = children[best]
gens += 1
if gens % 10 == 0
println("After $gens generations, the new parent is $parent and its fitness is $(fitness(parent))")
end
end
println("After $gens generations, the parent evolved into the target $target")
end
evolve("IU RFSGJABGOLYWF XSMFXNIABKT", "METHINKS IT IS LIKE A WEASEL", 0.08998, 100)