1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56
use crate::{genetic_algorithm::operators::mutation::Mutation, utils::two_dist_rnd_num}; use cl_traits::Storage; use mop_blocks::{gp::MpOrs, Pct, Solution}; use rand::{rngs::StdRng, SeedableRng}; #[derive(Clone, Debug)] pub struct Swap { times: usize, probability: Pct, } impl Swap { pub fn new(times: usize, probability: Pct) -> Self { Swap { times, probability } } } impl<M, OR, ORS, S, SS> Mutation<M, MpOrs<ORS, SS>> for Swap where ORS: AsMut<[OR]> + Storage<Item = OR>, SS: AsMut<[S]> + Storage<Item = S>, S: Solution, { type Error = core::convert::Infallible; fn mutation(&self, _: &M, source: &mut MpOrs<ORS, SS>) -> Result<(), Self::Error> { let mut rng = StdRng::from_entropy(); for mut individual in source.iter_mut() { let len = individual.solution_mut().len(); if self.probability.is_in_rnd_pbty(&mut rng) { for _ in 0..self.times { let [a, b] = two_dist_rnd_num(&mut rng, 0..len); individual.solution_mut().intra_swap(a, b); } } } Ok(()) } } #[cfg(test)] mod tests { use crate::genetic_algorithm::operators::mutation::{Mutation, Swap}; use mop_blocks::{utils::dummy_mp, Pct}; #[test] fn swap() { let mut problem = dummy_mp(); let (defs, source) = problem.parts_mut(); source.constructor().or_os_iter([2.0, 4.0].iter().cloned(), [10.0, 20.0]); let rda = Swap::new(1, Pct::from_percent(100)); rda.mutation(defs.domain(), source).unwrap(); assert_eq!(*source.get(0).unwrap().solution().get(0).unwrap() as i32, 20); assert_eq!(*source.get(0).unwrap().solution().get(1).unwrap() as i32, 10); } }