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
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
use crate::algorithms::statistics::get_cv;
use crate::construction::constraints::*;
use crate::construction::heuristics::{RouteContext, SolutionContext};
use crate::models::common::{CapacityDimension, Load};
use crate::models::problem::{TargetConstraint, TargetObjective};
use crate::solver::objectives::GenericValue;
use crate::solver::*;
use std::cmp::Ordering;
use std::ops::{Add, Deref, Sub};
use std::sync::Arc;

/// A type which provides functionality needed to balance work across all routes.
pub struct WorkBalance {}

impl WorkBalance {
    /// Creates _(constraint, objective)_  type pair which balances max load across all tours.
    pub fn new_load_balanced<T: Load + Add<Output = T> + Sub<Output = T> + 'static>(
        threshold: Option<f64>,
        tolerance: Option<f64>,
        load_func: Arc<dyn Fn(&T, &T) -> f64 + Send + Sync>,
    ) -> (TargetConstraint, TargetObjective) {
        let default_capacity = T::default();
        let default_intervals = vec![(0_usize, 0_usize)];

        let get_load_ratio = Arc::new(move |ctx: &RouteContext| {
            let capacity = ctx.route.actor.vehicle.dimens.get_capacity().unwrap();
            let intervals =
                ctx.state.get_route_state::<Vec<(usize, usize)>>(RELOAD_INTERVALS_KEY).unwrap_or(&default_intervals);

            intervals
                .iter()
                .map(|(start, _)| ctx.route.tour.get(*start).unwrap())
                .map(|activity| {
                    ctx.state.get_activity_state::<T>(MAX_FUTURE_CAPACITY_KEY, activity).unwrap_or(&default_capacity)
                })
                .map(|max_load| load_func.deref()(max_load, capacity))
                .max_by(|a, b| a.partial_cmp(b).unwrap_or(Ordering::Less))
                .unwrap_or(0_f64)
        });

        GenericValue::new_constrained_objective(
            threshold,
            tolerance,
            Arc::new({
                let get_load_ratio = get_load_ratio.clone();
                move |rc: &RouteContext| get_load_ratio(rc)
            }),
            Arc::new({
                let get_load_ratio = get_load_ratio.clone();
                move |ctx: &SolutionContext| {
                    get_cv_safe(ctx.routes.iter().map(|rc| get_load_ratio(rc)).collect::<Vec<_>>().as_slice())
                }
            }),
            Arc::new(|solution_ctx, _, _, value| value * solution_ctx.get_max_cost()),
            BALANCE_MAX_LOAD_KEY,
        )
    }

    /// Creates _(constraint, objective)_  type pair which balances activities across all tours.
    pub fn new_activity_balanced(
        threshold: Option<f64>,
        tolerance: Option<f64>,
    ) -> (TargetConstraint, TargetObjective) {
        GenericValue::new_constrained_objective(
            threshold,
            tolerance,
            Arc::new(|rc: &RouteContext| rc.route.tour.activity_count() as f64),
            Arc::new(|ctx: &SolutionContext| {
                get_cv_safe(
                    ctx.routes.iter().map(|rc| rc.route.tour.activity_count() as f64).collect::<Vec<_>>().as_slice(),
                )
            }),
            Arc::new(|solution_ctx, _, _, value| value * solution_ctx.get_max_cost()),
            BALANCE_ACTIVITY_KEY,
        )
    }

    /// Creates _(constraint, objective)_  type pair which balances travelled distances across all tours.
    pub fn new_distance_balanced(
        threshold: Option<f64>,
        tolerance: Option<f64>,
    ) -> (TargetConstraint, TargetObjective) {
        Self::new_transport_balanced(threshold, tolerance, TOTAL_DISTANCE_KEY, BALANCE_DISTANCE_KEY)
    }

    /// Creates _(constraint, objective)_  type pair which balances travelled durations across all tours.
    pub fn new_duration_balanced(
        threshold: Option<f64>,
        tolerance: Option<f64>,
    ) -> (TargetConstraint, TargetObjective) {
        Self::new_transport_balanced(threshold, tolerance, TOTAL_DURATION_KEY, BALANCE_DURATION_KEY)
    }

    fn new_transport_balanced(
        threshold: Option<f64>,
        tolerance: Option<f64>,
        transport_state_key: i32,
        memory_state_key: i32,
    ) -> (TargetConstraint, TargetObjective) {
        GenericValue::new_constrained_objective(
            threshold,
            tolerance,
            Arc::new(move |rc: &RouteContext| {
                debug_assert!(transport_state_key == TOTAL_DISTANCE_KEY || transport_state_key == TOTAL_DURATION_KEY);
                rc.state.get_route_state::<f64>(transport_state_key).cloned().unwrap_or(0.)
            }),
            Arc::new(move |ctx: &SolutionContext| {
                get_cv_safe(
                    ctx.routes
                        .iter()
                        .map(|rc| rc.state.get_route_state::<f64>(transport_state_key).cloned().unwrap_or(0.))
                        .collect::<Vec<_>>()
                        .as_slice(),
                )
            }),
            Arc::new(|solution_ctx, _, _, value| value * solution_ctx.get_max_cost()),
            memory_state_key,
        )
    }
}

fn get_cv_safe(values: &[f64]) -> f64 {
    let value = get_cv(values);

    if value.is_nan() {
        1.
    } else {
        value
    }
}