RosettaCodeData/Task/Evolutionary-algorithm/D/evolutionary-algorithm-2.d

20 lines
794 B
D

import std.stdio, std.random, std.algorithm, std.range;
enum target = "METHINKS IT IS LIKE A WEASEL"d;
enum C = 100; // Number of children in each generation.
enum P = 0.05; // Mutation probability.
auto alphabet = " ABCDEFGHIJLKLMNOPQRSTUVWXYZ"d.dup;
const fitness = (dchar[] s) => count!"a[0] != a[1]"(zip(s, target));
const rndc = () => alphabet[uniform(0, $)];
const mutate = (dchar[] s) =>
s.map!(a => uniform(0., 1.) < P ? rndc() : a)().array();
void main() {
auto parent = target.length.iota().map!(_ => rndc())().array();
for (int gen = 1; parent != target; gen++) {
auto offs = parent.repeat(C).map!mutate().array();
parent = offs.minPos!((a, b) => fitness(a) < fitness(b))()[0];
writefln("Gen %2d, dist=%2d: %s", gen, fitness(parent), parent);
}
}