问不同起止点有时间窗的车辆路径问题

EN

"""Simple Vehicles Routing Problem."""

from __future__ import print_function
from ortools.constraint_solver import routing_enums_pb2
from ortools.constraint_solver import pywrapcp


def create_data_model():
    """Stores the data for the problem."""
    data = {}
    data['time_matrix'] = [
        [0, 6, 7, 9, 7, 3, 6, 2, 3, 2, 6, 6, 4, 4, 5, 9, 7, 0],
        [6, 0, 8, 3, 2, 6, 8, 4, 8, 8, 13, 7, 5, 8, 12, 12, 14, 6],
        [7, 8, 0, 11, 10, 6, 3, 9, 5, 8, 4, 15, 14, 13, 9, 18, 9, 15],
        [9, 3, 11, 0, 3, 7, 10, 6, 10, 10, 14, 6, 7, 9, 14, 6, 16, 14],
        [7, 2, 10, 3, 0, 6, 9, 4, 8, 9, 13, 4, 6, 8, 12, 8, 14, 9],
        [3, 6, 6, 7, 6, 0, 2, 8, 2, 2, 7, 9, 7, 7, 6, 12, 8, 3],
        [6, 8, 3, 10, 9, 2, 0, 6, 2, 5, 4, 12, 10, 10, 6, 11, 5, 10],
        [2, 4, 9, 6, 4, 8, 6, 0, 4, 4, 8, 5, 4, 13, 7, 8, 10, 12],
        [3, 8, 5, 10, 8, 2, 2, 4, 0, 3, 4, 9, 8, 7, 3, 13, 6, 5],
        [2, 8, 8, 10, 9, 2, 5, 4, 3, 0, 4, 6, 5, 4, 3, 9, 5, 8],
        [6, 13, 4, 14, 13, 7, 4, 8, 4, 4, 0, 10, 9, 8, 4, 13, 4, 9],
        [6, 7, 15, 6, 4, 9, 12, 5, 9, 6, 10, 0, 1, 3, 7, 13, 10, 11],
        [4, 5, 14, 7, 6, 7, 10, 4, 8, 5, 9, 1, 0, 2, 16, 4, 8, 1],
        [4, 8, 13, 9, 8, 7, 10, 13, 7, 4, 8, 3, 2, 0, 4, 5, 6, 2],
        [5, 12, 9, 14, 12, 6, 6, 7, 3, 3, 4, 7, 16, 4, 0, 9, 12, 4],
        [9, 12, 18, 6, 8, 12, 11, 8, 13, 9, 13, 13, 4, 5, 9, 0, 9, 10],
        [7, 14, 9, 16, 14, 8, 5, 10, 6, 5, 4, 10, 8, 6, 12, 9, 0, 13],
        [0, 6, 15, 14, 9, 3, 10, 12, 5, 8, 9, 11, 1, 2, 4, 10, 13, 0]
    ]
    data['time_windows'] = [
        (0, 22),  # depot
        (7, 12),  # 1
        (10, 15),  # 2
        (6, 8),  # 3
        (10, 13),  # 4
        (0, 5),  # 5
        (5, 10),  # 6
        (0, 4),  # 7
        (5, 7),  # 8
        (0, 3),  # 9
        (10, 16),  # 10
        (10, 15),  # 11
        (0, 9),  # 12
        (5, 10),  # 13
        (7, 10),  # 14
        (10, 15),  # 15
        (11, 15),  # 16
        (18, 25)  # 17
    ]
    data['num_days'] = 3
    data['start'] = [0,0,0]#, 0, 0, 0]  # ,17,0,17]
    data['end'] = [17,17,17]#, 17, 17, 17]
    return data

def print_solution(data, manager, routing, assignment):
    # prints the final routing solution on the console
    time_dimension = routing.GetDimensionOrDie('Time')
    total_time = 0
    for vehicle_id in range(data['num_days']):
        index = routing.Start(vehicle_id)
        plan_output = 'Route for vehicle {}:\n'.format(vehicle_id)
        while not routing.IsEnd(index):
            time_var = time_dimension.CumulVar(index)
            plan_output += '{0} Time({1},{2}) -> '.format(
                manager.IndexToNode(index), assignment.Min(time_var),
                assignment.Max(time_var))
            index = assignment.Value(routing.NextVar(index))
        time_var = time_dimension.CumulVar(index)
        plan_output += '{0} Time({1},{2})\n'.format(
            manager.IndexToNode(index), assignment.Min(time_var),
            assignment.Max(time_var))
        plan_output += 'Time of the route: {}min\n'.format(
            assignment.Min(time_var))
        print(plan_output)
        total_time += assignment.Min(time_var)
    print('Total time of all routes: {}min'.format(total_time))


def main():
    """Entry point of the program."""
    # Instantiate the data problem.
    data = create_data_model()

    # Create the routing index manager.
    manager = pywrapcp.RoutingIndexManager(len(data['time_matrix']), data['num_days'], data['start'], data['end'])

    # Create Routing Model.
    routing = pywrapcp.RoutingModel(manager)


    # Create and register a transit callback.
    def time_callback(from_index, to_index):
        """Returns the distance between the two nodes."""
        # Convert from routing variable Index to distance matrix NodeIndex.
        from_node = manager.IndexToNode(from_index)
        to_node = manager.IndexToNode(to_index)
        return data['time_matrix'][from_node][to_node]

    transit_callback_index = routing.RegisterTransitCallback(time_callback)

    # Define cost of each arc.
    routing.SetArcCostEvaluatorOfAllVehicles(transit_callback_index)

    # Add time constraint.
    dimension_name = 'time'
    routing.AddDimension(
        transit_callback_index,
        30,  # no slack
        1000000000,  # vehicle maximum travel distance
        False,  # start cumul to zero
        dimension_name)
    time_dimension = routing.GetDimensionOrDie(dimension_name)
    # add time window constraints
    for location_idx, time_window in enumerate(data['time_windows']):
        if location_idx == 17 or location_idx == 0:
            continue
        index = manager.NodeToIndex(location_idx)
        time_dimension.CumulVar(index).SetRange(time_window[0], time_window[1])
    # Add time window constraints for each vehicle start node.
    for vehicle_id in range(data['num_days']):
        index = routing.Start(vehicle_id)
        end_index = routing.End(vehicle_id)
        print(end_index)
        time_dimension.CumulVar(index).SetRange(data['time_windows'][0][0],
                                                data['time_windows'][0][1])
        time_dimension.CumulVar(end_index).SetRange(data['time_windows'][17][0],
                                                    data['time_windows'][17][1])

    for i in range(data['num_days']):
        routing.AddVariableMinimizedByFinalizer(time_dimension.CumulVar(routing.Start(i)))
        routing.AddVariableMinimizedByFinalizer(time_dimension.CumulVar(routing.End(i)))

    time_dimension.SetSpanCostCoefficientForAllVehicles(200)

    # Setting first solution heuristic.
    search_parameters = pywrapcp.DefaultRoutingSearchParameters()
    search_parameters.first_solution_strategy = (
        routing_enums_pb2.FirstSolutionStrategy.PATH_CHEAPEST_ARC)

    # Solve the problem.
    solution = routing.SolveWithParameters(search_parameters)
    print(solution)
    # Print solution on console.
    if solution:
        print_solution(data, manager, routing, solution)


if __name__ == '__main__':
    main()

RuntimeError: SWIG std::function invocation failed.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/Users/travelapp/PycharmProjects/TravelApp/venv/lib/python3.7/site-packages/ortools/constraint_solver/pywrapcp.py", line 2136, in <lambda>
    __setattr__ = lambda self, name, value: _swig_setattr(self, Assignment, name, value)
  File "/Users/travelapp/PycharmProjects/TravelApp/venv/lib/python3.7/site-packages/ortools/constraint_solver/pywrapcp.py", line 71, in _swig_setattr
    return _swig_setattr_nondynamic(self, class_type, name, value, 0)
  File "/Users/travelapp/PycharmProjects/TravelApp/venv/lib/python3.7/site-packages/ortools/constraint_solver/pywrapcp.py", line 55, in _swig_setattr_nondynamic
    if type(value).__name__ == 'SwigPyObject':
SystemError: <class 'type'> returned a result with an error set

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/Users/travelapp/Library/Preferences/PyCharmCE2019.1/scratches/scratch.py", line 150, in <module>
    main()
  File "/Users/travelapp/Library/Preferences/PyCharmCE2019.1/scratches/scratch.py", line 142, in main
    solution = routing.SolveWithParameters(search_parameters)
  File "/Users/travelapp/PycharmProjects/TravelApp/venv/lib/python3.7/site-packages/ortools/constraint_solver/pywrapcp.py", line 3464, in SolveWithParameters
    return _pywrapcp.RoutingModel_SolveWithParameters(self, search_parameters, solutions)
SystemError: <built-in function RoutingModel_SolveWithParameters> returned a result with an error set