示例#1
0
    def _set_pickup_delivery_constraints(self,
                                         data: VehicleRoutingProblemInstance,
                                         routing: RoutingModel,
                                         manager: RoutingIndexManager):
        time_dimension = routing.GetDimensionOrDie(
            self.DURATION_DIMENSION_NAME)

        # ========= PICKUP/DELIVERY CONSTRAIN =========
        # Define Transportation Requests.
        solver: Solver = routing.solver()
        for pickup_node, delivery_node in data.deliveries_not_started:
            pickup_index = manager.NodeToIndex(pickup_node)
            delivery_index = manager.NodeToIndex(delivery_node)
            routing.AddPickupAndDelivery(pickup_index, delivery_index)
            solver.Add(
                routing.VehicleVar(pickup_index) == routing.VehicleVar(
                    delivery_index))
            solver.Add(
                time_dimension.CumulVar(pickup_index) <=
                time_dimension.CumulVar(delivery_index))

        # Define constraint of deliveries in progress - only vehicle that picked the order is able to finish it
        for courier_idx, node in data.deliveries_in_progress:
            index = manager.NodeToIndex(node)
            routing.SetAllowedVehiclesForIndex([courier_idx], index)
示例#2
0
def main():
    numLocations = 8
    depotIndex = 0
    numVehicles = 3
    vehicleCapacity = 3

    times = [[0, 957.7, 748.5, 570.8, 706.7, 574.2, 893.2, 187],
             [975.1, 0, 436.6, 894.6, 293, 446.4, 760.2, 901.2],
             [814.6, 399.6, 0, 458, 352.5, 231.5, 876.8, 675.8],
             [526.8, 841.3, 441.7, 0, 785.8, 598.5, 1266.5, 457.8],
             [733.3, 328.4, 351.6, 748.7, 0, 231.8, 625, 659.4],
             [713.7, 360.9, 174.3, 577.1, 270.3, 0, 845.2, 639.8],
             [917.6, 919.7, 1000.8, 1357.9, 733.1, 931, 0, 996.4],
             [246.7, 901.6, 626.4, 383.8, 673.9, 540.7, 986.4, 0]]

    def timeCallback(s, t):
        return times[s][t]

    #demands = [0, 0, 1, 1, 3, 0, 0, 1]
    demands = [0, 1, 1, 1, 1, 1, 1, 1]

    def demandsCallback(s, _):
        return demands[s]

    pickupDeliveries = [
        (6, 4), (5, 4)
    ]  #[ ( 6, 4 ), ( 5, 4 ), ( 5, 3 ), ( 1, 2 ), ( 5, 2 ), ( 6, 4 ), ( 5, 7 ) ];
    model = RoutingModel(numLocations, numVehicles, depotIndex)
    model.SetArcCostEvaluatorOfAllVehicles(timeCallback)

    model.AddDimension(timeCallback, 28800, 28800, True, 'Time')
    timeDimension = model.GetDimensionOrDie('Time')
    for i in range(numLocations):
        timeDimension.CumulVar(i).SetRange(0, 28800)

    model.AddDimension(demandsCallback, 0, vehicleCapacity, True, 'Capacity')
    capacityDimension = model.GetDimensionOrDie('Capacity')

    solver = model.solver()

    for pickup, delivery in pickupDeliveries:
        pickupIndex = model.NodeToIndex(pickup)
        deliveryIndex = model.NodeToIndex(delivery)

        solver.AddConstraint(
            model.VehicleVar(pickupIndex) == model.VehicleVar(deliveryIndex))
        solver.AddConstraint(
            timeDimension.CumulVar(pickupIndex) <= timeDimension.CumulVar(
                deliveryIndex))

        model.AddPickupAndDelivery(pickup, delivery)

    assignment = model.Solve()

    if not assignment:
        sys.exit('Error: No Assignment')

    printAssignment(assignment, model)