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use crate::construction::heuristics::InsertionContext;
use crate::models::Problem;
use crate::solver::RefinementContext;
use std::iter::once;
use std::sync::Arc;
pub trait Ruin {
fn run(&self, refinement_ctx: &RefinementContext, insertion_ctx: InsertionContext) -> InsertionContext;
}
mod adjusted_string_removal;
pub use self::adjusted_string_removal::AdjustedStringRemoval;
mod cluster_removal;
pub use self::cluster_removal::ClusterRemoval;
mod neighbour_removal;
pub use self::neighbour_removal::NeighbourRemoval;
mod random_route_removal;
pub use self::random_route_removal::RandomRouteRemoval;
mod random_job_removal;
pub use self::random_job_removal::RandomJobRemoval;
mod worst_jobs_removal;
pub use self::worst_jobs_removal::WorstJobRemoval;
pub type RuinGroup = (Vec<(Arc<dyn Ruin + Send + Sync>, f64)>, usize);
pub struct CompositeRuin {
ruins: Vec<Vec<(Arc<dyn Ruin + Send + Sync>, f64)>>,
weights: Vec<usize>,
}
pub struct JobRemovalLimit {
pub min: usize,
pub max: usize,
pub threshold: f64,
}
impl JobRemovalLimit {
pub fn new(min: usize, max: usize, threshold: f64) -> Self {
Self { min, max, threshold }
}
}
impl Default for JobRemovalLimit {
fn default() -> Self {
Self { min: 8, max: 16, threshold: 0.1 }
}
}
impl CompositeRuin {
pub fn new(ruins: Vec<RuinGroup>) -> Self {
let weights = ruins.iter().map(|(_, weight)| *weight).collect();
let ruins = ruins.into_iter().map(|(ruin, _)| ruin).collect();
Self { ruins, weights }
}
pub fn new_from_problem(problem: Arc<Problem>) -> Self {
let random_route = Arc::new(RandomRouteRemoval::default());
let random_job = Arc::new(RandomJobRemoval::new(JobRemovalLimit::default()));
Self::new(vec![
(
vec![
(Arc::new(AdjustedStringRemoval::default()), 1.),
(Arc::new(NeighbourRemoval::new(JobRemovalLimit::new(2, 8, 0.1))), 0.1),
(random_job.clone(), 0.05),
(random_route.clone(), 0.01),
],
100,
),
(
vec![
(Arc::new(WorstJobRemoval::default()), 1.),
(random_job.clone(), 0.05),
(random_route.clone(), 0.01),
],
10,
),
(
vec![
(Arc::new(NeighbourRemoval::default()), 1.),
(random_job.clone(), 0.05),
(random_route.clone(), 0.01),
],
10,
),
(vec![(random_job.clone(), 1.), (random_route.clone(), 0.1)], 2),
(vec![(random_route.clone(), 1.), (random_job.clone(), 0.1)], 2),
(
vec![
(Arc::new(ClusterRemoval::new_with_defaults(problem)), 1.),
(random_job, 0.05),
(random_route, 0.01),
],
1,
),
])
}
}
impl Ruin for CompositeRuin {
fn run(&self, refinement_ctx: &RefinementContext, insertion_ctx: InsertionContext) -> InsertionContext {
if insertion_ctx.solution.routes.is_empty() {
return insertion_ctx;
}
let random = insertion_ctx.random.clone();
let index = insertion_ctx.random.weighted(self.weights.as_slice());
let mut insertion_ctx = self
.ruins
.get(index)
.unwrap()
.iter()
.filter(|(_, probability)| random.is_hit(*probability))
.fold(insertion_ctx, |ctx, (ruin, _)| ruin.run(refinement_ctx, ctx));
insertion_ctx.restore();
insertion_ctx
}
}