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use super::*;
use crate::models::common::{CapacityDimension, LoadOps};
use rosomaxa::algorithms::math::get_cv_safe;
use std::cmp::Ordering;
use std::ops::Deref;
pub type LoadBalanceFn<T> = Arc<dyn Fn(&T, &T) -> f64 + Send + Sync>;
pub fn create_max_load_balanced_feature<T: LoadOps>(
name: &str,
threshold: Option<f64>,
load_balance_fn: LoadBalanceFn<T>,
) -> Result<Feature, String> {
let default_capacity = T::default();
let default_intervals = vec![(0_usize, 0_usize)];
let get_load_ratio = Arc::new(move |route_ctx: &RouteContext| {
let capacity = route_ctx.route().actor.vehicle.dimens.get_capacity().unwrap();
let intervals = route_ctx
.state()
.get_route_state::<Vec<(usize, usize)>>(RELOAD_INTERVALS_KEY)
.unwrap_or(&default_intervals);
intervals
.iter()
.map(|(start, _)| route_ctx.route().tour.get(*start).unwrap())
.map(|activity| {
route_ctx
.state()
.get_activity_state::<T>(MAX_FUTURE_CAPACITY_KEY, activity)
.unwrap_or(&default_capacity)
})
.map(|max_load| load_balance_fn.deref()(max_load, capacity))
.max_by(|a, b| a.partial_cmp(b).unwrap_or(Ordering::Less))
.unwrap_or(0_f64)
});
let route_estimate_fn = get_load_ratio.clone();
let solution_estimate_fn = Arc::new(move |ctx: &SolutionContext| {
get_cv_safe(ctx.routes.iter().map(|route_ctx| get_load_ratio(route_ctx)).collect::<Vec<_>>().as_slice())
});
create_feature(name, threshold, BALANCE_MAX_LOAD_KEY, route_estimate_fn, solution_estimate_fn)
}
pub fn create_activity_balanced_feature(name: &str, threshold: Option<f64>) -> Result<Feature, String> {
let route_estimate_fn = Arc::new(|route_ctx: &RouteContext| route_ctx.route().tour.job_activity_count() as f64);
let solution_estimate_fn = Arc::new(|solution_ctx: &SolutionContext| {
get_cv_safe(
solution_ctx
.routes
.iter()
.map(|route_ctx| route_ctx.route().tour.job_activity_count() as f64)
.collect::<Vec<_>>()
.as_slice(),
)
});
create_feature(name, threshold, BALANCE_ACTIVITY_KEY, route_estimate_fn, solution_estimate_fn)
}
pub fn create_duration_balanced_feature(name: &str, threshold: Option<f64>) -> Result<Feature, String> {
create_transport_balanced_feature(name, threshold, TOTAL_DURATION_KEY, BALANCE_DURATION_KEY)
}
pub fn create_distance_balanced_feature(name: &str, threshold: Option<f64>) -> Result<Feature, String> {
create_transport_balanced_feature(name, threshold, TOTAL_DISTANCE_KEY, BALANCE_DISTANCE_KEY)
}
fn create_transport_balanced_feature(
name: &str,
threshold: Option<f64>,
value_key: i32,
state_key: i32,
) -> Result<Feature, String> {
let route_estimate_fn = Arc::new(move |route_ctx: &RouteContext| {
route_ctx.state().get_route_state::<f64>(value_key).cloned().unwrap_or(0.)
});
let solution_estimate_fn = Arc::new(move |ctx: &SolutionContext| {
get_cv_safe(
ctx.routes
.iter()
.map(|route_ctx| route_ctx.state().get_route_state::<f64>(value_key).cloned().unwrap_or(0.))
.collect::<Vec<_>>()
.as_slice(),
)
});
create_feature(name, threshold, state_key, route_estimate_fn, solution_estimate_fn)
}
fn create_feature(
name: &str,
threshold: Option<f64>,
state_key: StateKey,
route_estimate_fn: Arc<dyn Fn(&RouteContext) -> f64 + Send + Sync>,
solution_estimate_fn: Arc<dyn Fn(&SolutionContext) -> f64 + Send + Sync>,
) -> Result<Feature, String> {
FeatureBuilder::default()
.with_name(name)
.with_objective(WorkBalanceObjective {
threshold,
state_key,
route_estimate_fn: route_estimate_fn.clone(),
solution_estimate_fn: solution_estimate_fn.clone(),
})
.with_state(WorkBalanceState {
state_key,
state_keys: vec![state_key],
route_estimate_fn,
solution_estimate_fn,
})
.build()
}
struct WorkBalanceObjective {
threshold: Option<f64>,
state_key: StateKey,
route_estimate_fn: Arc<dyn Fn(&RouteContext) -> f64 + Send + Sync>,
solution_estimate_fn: Arc<dyn Fn(&SolutionContext) -> f64 + Send + Sync>,
}
impl Objective for WorkBalanceObjective {
type Solution = InsertionContext;
fn total_order(&self, a: &Self::Solution, b: &Self::Solution) -> Ordering {
let fitness_a = self.fitness(a);
let fitness_b = self.fitness(b);
if let Some(threshold) = self.threshold {
if fitness_a < threshold && fitness_b < threshold {
return Ordering::Equal;
}
if fitness_a < threshold {
return Ordering::Less;
}
if fitness_b < threshold {
return Ordering::Greater;
}
}
compare_floats(fitness_a, fitness_b)
}
fn fitness(&self, solution: &Self::Solution) -> f64 {
solution
.solution
.state
.get(&self.state_key)
.and_then(|s| s.downcast_ref::<f64>())
.cloned()
.unwrap_or_else(|| self.solution_estimate_fn.deref()(&solution.solution))
}
}
impl FeatureObjective for WorkBalanceObjective {
fn estimate(&self, move_ctx: &MoveContext<'_>) -> Cost {
match move_ctx {
MoveContext::Route { route_ctx, .. } => {
let value = route_ctx
.state()
.get_route_state::<f64>(self.state_key)
.cloned()
.unwrap_or_else(|| self.route_estimate_fn.deref()(route_ctx));
if value.is_finite() && self.threshold.map_or(true, |threshold| value > threshold) {
value
} else {
Cost::default()
}
}
MoveContext::Activity { .. } => Cost::default(),
}
}
}
struct WorkBalanceState {
state_key: StateKey,
state_keys: Vec<StateKey>,
route_estimate_fn: Arc<dyn Fn(&RouteContext) -> f64 + Send + Sync>,
solution_estimate_fn: Arc<dyn Fn(&SolutionContext) -> f64 + Send + Sync>,
}
impl FeatureState for WorkBalanceState {
fn accept_insertion(&self, solution_ctx: &mut SolutionContext, route_index: usize, _: &Job) {
self.accept_route_state(solution_ctx.routes.get_mut(route_index).unwrap());
}
fn accept_route_state(&self, route_ctx: &mut RouteContext) {
let value = self.route_estimate_fn.deref()(route_ctx);
route_ctx.state_mut().put_route_state(self.state_key, value);
}
fn accept_solution_state(&self, solution_ctx: &mut SolutionContext) {
let value = self.solution_estimate_fn.deref()(solution_ctx);
solution_ctx.state.insert(self.state_key, Arc::new(value));
}
fn state_keys(&self) -> Iter<StateKey> {
self.state_keys.iter()
}
}