Class OptimizeToursRequest.Builder (1.45.0)

Request to be given to a tour optimization solver which defines the shipment model to solve as well as optimization parameters.

Protobuf type google.cloud.optimization.v1.OptimizeToursRequest

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

If this is set, then the request can have a deadline (see https://grpc.io/blog/deadlines) of up to 60 minutes. Otherwise, the maximum deadline is only 30 minutes. Note that long-lived requests have a significantly larger (but still small) risk of interruption.

bool allow_large_deadline_despite_interruption_risk = 14;

Consider traffic estimation in calculating ShipmentRoute fields Transition.travel_duration, Visit.start_time, and vehicle_end_time; in setting the ShipmentRoute.has_traffic_infeasibilities field, and in calculating the OptimizeToursResponse.total_cost field.

bool consider_road_traffic = 11;

When use_geodesic_distances is true, this field must be set and defines the speed applied to compute travel times. Its value must be at least 1.0 meters/seconds.

optional double geodesic_meters_per_second = 16;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Constrain the optimization algorithm to find a final solution that is similar to a previous solution. For example, this may be used to freeze portions of routes which have already been completed or which are to be completed but must not be modified.

If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

.google.cloud.optimization.v1.InjectedSolutionConstraint injected_solution_constraint = 8;

If true:

• uses ShipmentRoute.vehicle_label instead of vehicle_index to match routes in an injected solution with vehicles in the request; reuses the mapping of original ShipmentRoute.vehicle_index to new ShipmentRoute.vehicle_index to update ConstraintRelaxation.vehicle_indices if non-empty, but the mapping must be unambiguous (i.e., multiple ShipmentRoutes must not share the same original vehicle_index).
• uses ShipmentRoute.Visit.shipment_label instead of shipment_index to match visits in an injected solution with shipments in the request;

• uses SkippedShipment.label instead of SkippedShipment.index to match skipped shipments in the injected solution with request shipments.

  This interpretation applies to the injected_first_solution_routes, injected_solution_constraint, and refresh_details_routes fields. It can be used when shipment or vehicle indices in the request have changed since the solution was created, perhaps because shipments or vehicles have been removed from or added to the request.

  If true, labels in the following categories must appear at most once in their category:

• Vehicle.label in the request;

• Shipment.label in the request;
• ShipmentRoute.vehicle_label in the injected solution;

• SkippedShipment.label and ShipmentRoute.Visit.shipment_label in the injected solution (except pickup/delivery visit pairs, whose shipment_label must appear twice).

  If a vehicle_label in the injected solution does not correspond to a request vehicle, the corresponding route is removed from the solution along with its visits. If a shipment_label in the injected solution does not correspond to a request shipment, the corresponding visit is removed from the solution. If a SkippedShipment.label in the injected solution does not correspond to a request shipment, the SkippedShipment is removed from the solution.

  Removing route visits or entire routes from an injected solution may have an effect on the implied constraints, which may lead to change in solution, validation errors, or infeasibility.

  NOTE: The caller must ensure that each Vehicle.label (resp. Shipment.label) uniquely identifies a vehicle (resp. shipment) entity used across the two relevant requests: the past request that produced the OptimizeToursResponse used in the injected solution and the current request that includes the injected solution. The uniqueness checks described above are not enough to guarantee this requirement.

bool interpret_injected_solutions_using_labels = 10;

Label that may be used to identify this request, reported back in the OptimizeToursResponse.request_label.

string label = 17;

Truncates the number of validation errors returned. These errors are typically attached to an INVALID_ARGUMENT error payload as a BadRequest error detail (https://cloud.google.com/apis/design/errors#error_details), unless solving_mode=VALIDATE_ONLY: see the OptimizeToursResponse.validation_errors field. This defaults to 100 and is capped at 10,000.

optional int32 max_validation_errors = 5;

Shipment model to solve.

.google.cloud.optimization.v1.ShipmentModel model = 3;

Required. Target project and location to make a call.

Format: projects/{project-id}/locations/{location-id}.

If no location is specified, a region will be chosen automatically.

string parent = 1 [(.google.api.field_behavior) = REQUIRED];

If true, polylines will be populated in response ShipmentRoutes.

bool populate_polylines = 12;

If true, polylines will be populated in response ShipmentRoute.transitions. Note that in this case, the polylines will also be populated in the deprecated travel_steps.

bool populate_transition_polylines = 13;

Deprecated. google.cloud.optimization.v1.OptimizeToursRequest.populate_travel_step_polylines is deprecated. See google/cloud/optimization/v1/fleet_routing.proto;l=359

Deprecated: Use OptimizeToursRequest.populate_transition_polylines instead. If true, polylines will be populated in response ShipmentRoute.transitions. Note that in this case, the polylines will also be populated in the deprecated travel_steps.

bool populate_travel_step_polylines = 20 [deprecated = true];

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

Search mode used to solve the request.

.google.cloud.optimization.v1.OptimizeToursRequest.SearchMode search_mode = 6;

By default, the solving mode is DEFAULT_SOLVE (0).

.google.cloud.optimization.v1.OptimizeToursRequest.SolvingMode solving_mode = 4;

If this timeout is set, the server returns a response before the timeout period has elapsed or the server deadline for synchronous requests is reached, whichever is sooner.

For asynchronous requests, the server will generate a solution (if possible) before the timeout has elapsed.

.google.protobuf.Duration timeout = 2;

If true, travel distances will be computed using geodesic distances instead of Google Maps distances, and travel times will be computed using geodesic distances with a speed defined by geodesic_meters_per_second.

bool use_geodesic_distances = 15;

If this is set, then the request can have a deadline (see https://grpc.io/blog/deadlines) of up to 60 minutes. Otherwise, the maximum deadline is only 30 minutes. Note that long-lived requests have a significantly larger (but still small) risk of interruption.

bool allow_large_deadline_despite_interruption_risk = 14;

Consider traffic estimation in calculating ShipmentRoute fields Transition.travel_duration, Visit.start_time, and vehicle_end_time; in setting the ShipmentRoute.has_traffic_infeasibilities field, and in calculating the OptimizeToursResponse.total_cost field.

bool consider_road_traffic = 11;

When use_geodesic_distances is true, this field must be set and defines the speed applied to compute travel times. Its value must be at least 1.0 meters/seconds.

optional double geodesic_meters_per_second = 16;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Constrain the optimization algorithm to find a final solution that is similar to a previous solution. For example, this may be used to freeze portions of routes which have already been completed or which are to be completed but must not be modified.

If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

.google.cloud.optimization.v1.InjectedSolutionConstraint injected_solution_constraint = 8;

Constrain the optimization algorithm to find a final solution that is similar to a previous solution. For example, this may be used to freeze portions of routes which have already been completed or which are to be completed but must not be modified.

If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

.google.cloud.optimization.v1.InjectedSolutionConstraint injected_solution_constraint = 8;

Constrain the optimization algorithm to find a final solution that is similar to a previous solution. For example, this may be used to freeze portions of routes which have already been completed or which are to be completed but must not be modified.

If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

.google.cloud.optimization.v1.InjectedSolutionConstraint injected_solution_constraint = 8;

If true:

• uses ShipmentRoute.vehicle_label instead of vehicle_index to match routes in an injected solution with vehicles in the request; reuses the mapping of original ShipmentRoute.vehicle_index to new ShipmentRoute.vehicle_index to update ConstraintRelaxation.vehicle_indices if non-empty, but the mapping must be unambiguous (i.e., multiple ShipmentRoutes must not share the same original vehicle_index).
• uses ShipmentRoute.Visit.shipment_label instead of shipment_index to match visits in an injected solution with shipments in the request;

• uses SkippedShipment.label instead of SkippedShipment.index to match skipped shipments in the injected solution with request shipments.

  This interpretation applies to the injected_first_solution_routes, injected_solution_constraint, and refresh_details_routes fields. It can be used when shipment or vehicle indices in the request have changed since the solution was created, perhaps because shipments or vehicles have been removed from or added to the request.

  If true, labels in the following categories must appear at most once in their category:

• Vehicle.label in the request;

• Shipment.label in the request;
• ShipmentRoute.vehicle_label in the injected solution;

• SkippedShipment.label and ShipmentRoute.Visit.shipment_label in the injected solution (except pickup/delivery visit pairs, whose shipment_label must appear twice).

  If a vehicle_label in the injected solution does not correspond to a request vehicle, the corresponding route is removed from the solution along with its visits. If a shipment_label in the injected solution does not correspond to a request shipment, the corresponding visit is removed from the solution. If a SkippedShipment.label in the injected solution does not correspond to a request shipment, the SkippedShipment is removed from the solution.

  Removing route visits or entire routes from an injected solution may have an effect on the implied constraints, which may lead to change in solution, validation errors, or infeasibility.

  NOTE: The caller must ensure that each Vehicle.label (resp. Shipment.label) uniquely identifies a vehicle (resp. shipment) entity used across the two relevant requests: the past request that produced the OptimizeToursResponse used in the injected solution and the current request that includes the injected solution. The uniqueness checks described above are not enough to guarantee this requirement.

bool interpret_injected_solutions_using_labels = 10;

Label that may be used to identify this request, reported back in the OptimizeToursResponse.request_label.

string label = 17;

Label that may be used to identify this request, reported back in the OptimizeToursResponse.request_label.

string label = 17;

Truncates the number of validation errors returned. These errors are typically attached to an INVALID_ARGUMENT error payload as a BadRequest error detail (https://cloud.google.com/apis/design/errors#error_details), unless solving_mode=VALIDATE_ONLY: see the OptimizeToursResponse.validation_errors field. This defaults to 100 and is capped at 10,000.

optional int32 max_validation_errors = 5;

Shipment model to solve.

.google.cloud.optimization.v1.ShipmentModel model = 3;

Shipment model to solve.

.google.cloud.optimization.v1.ShipmentModel model = 3;

Shipment model to solve.

.google.cloud.optimization.v1.ShipmentModel model = 3;

Required. Target project and location to make a call.

Format: projects/{project-id}/locations/{location-id}.

If no location is specified, a region will be chosen automatically.

string parent = 1 [(.google.api.field_behavior) = REQUIRED];

Required. Target project and location to make a call.

Format: projects/{project-id}/locations/{location-id}.

If no location is specified, a region will be chosen automatically.

string parent = 1 [(.google.api.field_behavior) = REQUIRED];

If true, polylines will be populated in response ShipmentRoutes.

bool populate_polylines = 12;

If true, polylines will be populated in response ShipmentRoute.transitions. Note that in this case, the polylines will also be populated in the deprecated travel_steps.

bool populate_transition_polylines = 13;

Deprecated. google.cloud.optimization.v1.OptimizeToursRequest.populate_travel_step_polylines is deprecated. See google/cloud/optimization/v1/fleet_routing.proto;l=359

Deprecated: Use OptimizeToursRequest.populate_transition_polylines instead. If true, polylines will be populated in response ShipmentRoute.transitions. Note that in this case, the polylines will also be populated in the deprecated travel_steps.

bool populate_travel_step_polylines = 20 [deprecated = true];

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

Search mode used to solve the request.

.google.cloud.optimization.v1.OptimizeToursRequest.SearchMode search_mode = 6;

Search mode used to solve the request.

.google.cloud.optimization.v1.OptimizeToursRequest.SearchMode search_mode = 6;

By default, the solving mode is DEFAULT_SOLVE (0).

.google.cloud.optimization.v1.OptimizeToursRequest.SolvingMode solving_mode = 4;

By default, the solving mode is DEFAULT_SOLVE (0).

.google.cloud.optimization.v1.OptimizeToursRequest.SolvingMode solving_mode = 4;

If this timeout is set, the server returns a response before the timeout period has elapsed or the server deadline for synchronous requests is reached, whichever is sooner.

For asynchronous requests, the server will generate a solution (if possible) before the timeout has elapsed.

.google.protobuf.Duration timeout = 2;

If this timeout is set, the server returns a response before the timeout period has elapsed or the server deadline for synchronous requests is reached, whichever is sooner.

For asynchronous requests, the server will generate a solution (if possible) before the timeout has elapsed.

.google.protobuf.Duration timeout = 2;

If this timeout is set, the server returns a response before the timeout period has elapsed or the server deadline for synchronous requests is reached, whichever is sooner.

For asynchronous requests, the server will generate a solution (if possible) before the timeout has elapsed.

.google.protobuf.Duration timeout = 2;

If true, travel distances will be computed using geodesic distances instead of Google Maps distances, and travel times will be computed using geodesic distances with a speed defined by geodesic_meters_per_second.

bool use_geodesic_distances = 15;

When use_geodesic_distances is true, this field must be set and defines the speed applied to compute travel times. Its value must be at least 1.0 meters/seconds.

optional double geodesic_meters_per_second = 16;

Constrain the optimization algorithm to find a final solution that is similar to a previous solution. For example, this may be used to freeze portions of routes which have already been completed or which are to be completed but must not be modified.

If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

.google.cloud.optimization.v1.InjectedSolutionConstraint injected_solution_constraint = 8;

Truncates the number of validation errors returned. These errors are typically attached to an INVALID_ARGUMENT error payload as a BadRequest error detail (https://cloud.google.com/apis/design/errors#error_details), unless solving_mode=VALIDATE_ONLY: see the OptimizeToursResponse.validation_errors field. This defaults to 100 and is capped at 10,000.

optional int32 max_validation_errors = 5;

Shipment model to solve.

.google.cloud.optimization.v1.ShipmentModel model = 3;

If this timeout is set, the server returns a response before the timeout period has elapsed or the server deadline for synchronous requests is reached, whichever is sooner.

For asynchronous requests, the server will generate a solution (if possible) before the timeout has elapsed.

.google.protobuf.Duration timeout = 2;

Constrain the optimization algorithm to find a final solution that is similar to a previous solution. For example, this may be used to freeze portions of routes which have already been completed or which are to be completed but must not be modified.

If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

.google.cloud.optimization.v1.InjectedSolutionConstraint injected_solution_constraint = 8;

Shipment model to solve.

.google.cloud.optimization.v1.ShipmentModel model = 3;

If this timeout is set, the server returns a response before the timeout period has elapsed or the server deadline for synchronous requests is reached, whichever is sooner.

For asynchronous requests, the server will generate a solution (if possible) before the timeout has elapsed.

.google.protobuf.Duration timeout = 2;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

If this is set, then the request can have a deadline (see https://grpc.io/blog/deadlines) of up to 60 minutes. Otherwise, the maximum deadline is only 30 minutes. Note that long-lived requests have a significantly larger (but still small) risk of interruption.

bool allow_large_deadline_despite_interruption_risk = 14;

Consider traffic estimation in calculating ShipmentRoute fields Transition.travel_duration, Visit.start_time, and vehicle_end_time; in setting the ShipmentRoute.has_traffic_infeasibilities field, and in calculating the OptimizeToursResponse.total_cost field.

bool consider_road_traffic = 11;

When use_geodesic_distances is true, this field must be set and defines the speed applied to compute travel times. Its value must be at least 1.0 meters/seconds.

optional double geodesic_meters_per_second = 16;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Guide the optimization algorithm in finding a first solution that is similar to a previous solution.

The model is constrained when the first solution is built. Any shipments not performed on a route are implicitly skipped in the first solution, but they may be performed in successive solutions.

The solution must satisfy some basic validity assumptions:

• for all routes, vehicle_index must be in range and not be duplicated.
• for all visits, shipment_index and visit_request_index must be in range.
• a shipment may only be referenced on one route.
• the pickup of a pickup-delivery shipment must be performed before the delivery.
• no more than one pickup alternative or delivery alternative of a shipment may be performed.
• for all routes, times are increasing (i.e., vehicle_start_time <= visits[0].start_time <= visits[1].start_time ... <= vehicle_end_time).

• a shipment may only be performed on a vehicle that is allowed. A vehicle is allowed if Shipment.allowed_vehicle_indices is empty or its vehicle_index is included in Shipment.allowed_vehicle_indices.

  If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

repeated .google.cloud.optimization.v1.ShipmentRoute injected_first_solution_routes = 7;

Constrain the optimization algorithm to find a final solution that is similar to a previous solution. For example, this may be used to freeze portions of routes which have already been completed or which are to be completed but must not be modified.

If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

.google.cloud.optimization.v1.InjectedSolutionConstraint injected_solution_constraint = 8;

Constrain the optimization algorithm to find a final solution that is similar to a previous solution. For example, this may be used to freeze portions of routes which have already been completed or which are to be completed but must not be modified.

If the injected solution is not feasible, a validation error is not necessarily returned and an error indicating infeasibility may be returned instead.

.google.cloud.optimization.v1.InjectedSolutionConstraint injected_solution_constraint = 8;

If true:

• uses ShipmentRoute.vehicle_label instead of vehicle_index to match routes in an injected solution with vehicles in the request; reuses the mapping of original ShipmentRoute.vehicle_index to new ShipmentRoute.vehicle_index to update ConstraintRelaxation.vehicle_indices if non-empty, but the mapping must be unambiguous (i.e., multiple ShipmentRoutes must not share the same original vehicle_index).
• uses ShipmentRoute.Visit.shipment_label instead of shipment_index to match visits in an injected solution with shipments in the request;

• uses SkippedShipment.label instead of SkippedShipment.index to match skipped shipments in the injected solution with request shipments.

  This interpretation applies to the injected_first_solution_routes, injected_solution_constraint, and refresh_details_routes fields. It can be used when shipment or vehicle indices in the request have changed since the solution was created, perhaps because shipments or vehicles have been removed from or added to the request.

  If true, labels in the following categories must appear at most once in their category:

• Vehicle.label in the request;

• Shipment.label in the request;
• ShipmentRoute.vehicle_label in the injected solution;

• SkippedShipment.label and ShipmentRoute.Visit.shipment_label in the injected solution (except pickup/delivery visit pairs, whose shipment_label must appear twice).

  If a vehicle_label in the injected solution does not correspond to a request vehicle, the corresponding route is removed from the solution along with its visits. If a shipment_label in the injected solution does not correspond to a request shipment, the corresponding visit is removed from the solution. If a SkippedShipment.label in the injected solution does not correspond to a request shipment, the SkippedShipment is removed from the solution.

  Removing route visits or entire routes from an injected solution may have an effect on the implied constraints, which may lead to change in solution, validation errors, or infeasibility.

  NOTE: The caller must ensure that each Vehicle.label (resp. Shipment.label) uniquely identifies a vehicle (resp. shipment) entity used across the two relevant requests: the past request that produced the OptimizeToursResponse used in the injected solution and the current request that includes the injected solution. The uniqueness checks described above are not enough to guarantee this requirement.

bool interpret_injected_solutions_using_labels = 10;

Label that may be used to identify this request, reported back in the OptimizeToursResponse.request_label.

string label = 17;

Label that may be used to identify this request, reported back in the OptimizeToursResponse.request_label.

string label = 17;

Truncates the number of validation errors returned. These errors are typically attached to an INVALID_ARGUMENT error payload as a BadRequest error detail (https://cloud.google.com/apis/design/errors#error_details), unless solving_mode=VALIDATE_ONLY: see the OptimizeToursResponse.validation_errors field. This defaults to 100 and is capped at 10,000.

optional int32 max_validation_errors = 5;

Shipment model to solve.

.google.cloud.optimization.v1.ShipmentModel model = 3;

Shipment model to solve.

.google.cloud.optimization.v1.ShipmentModel model = 3;

Required. Target project and location to make a call.

Format: projects/{project-id}/locations/{location-id}.

If no location is specified, a region will be chosen automatically.

string parent = 1 [(.google.api.field_behavior) = REQUIRED];

Required. Target project and location to make a call.

Format: projects/{project-id}/locations/{location-id}.

If no location is specified, a region will be chosen automatically.

string parent = 1 [(.google.api.field_behavior) = REQUIRED];

If true, polylines will be populated in response ShipmentRoutes.

bool populate_polylines = 12;

If true, polylines will be populated in response ShipmentRoute.transitions. Note that in this case, the polylines will also be populated in the deprecated travel_steps.

bool populate_transition_polylines = 13;

Deprecated. google.cloud.optimization.v1.OptimizeToursRequest.populate_travel_step_polylines is deprecated. See google/cloud/optimization/v1/fleet_routing.proto;l=359

Deprecated: Use OptimizeToursRequest.populate_transition_polylines instead. If true, polylines will be populated in response ShipmentRoute.transitions. Note that in this case, the polylines will also be populated in the deprecated travel_steps.

bool populate_travel_step_polylines = 20 [deprecated = true];

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

If non-empty, the given routes will be refreshed, without modifying their underlying sequence of visits or travel times: only other details will be updated. This does not solve the model.

As of 2020/11, this only populates the polylines of non-empty routes and requires that populate_polylines is true.

The route_polyline fields of the passed-in routes may be inconsistent with route transitions.

This field must not be used together with injected_first_solution_routes or injected_solution_constraint.

Shipment.ignore and Vehicle.ignore have no effect on the behavior. Polylines are still populated between all visits in all non-empty routes regardless of whether the related shipments or vehicles are ignored.

repeated .google.cloud.optimization.v1.ShipmentRoute refresh_details_routes = 9;

Search mode used to solve the request.

.google.cloud.optimization.v1.OptimizeToursRequest.SearchMode search_mode = 6;

Search mode used to solve the request.

.google.cloud.optimization.v1.OptimizeToursRequest.SearchMode search_mode = 6;

By default, the solving mode is DEFAULT_SOLVE (0).

.google.cloud.optimization.v1.OptimizeToursRequest.SolvingMode solving_mode = 4;

By default, the solving mode is DEFAULT_SOLVE (0).

.google.cloud.optimization.v1.OptimizeToursRequest.SolvingMode solving_mode = 4;

If this timeout is set, the server returns a response before the timeout period has elapsed or the server deadline for synchronous requests is reached, whichever is sooner.

For asynchronous requests, the server will generate a solution (if possible) before the timeout has elapsed.

.google.protobuf.Duration timeout = 2;

If this timeout is set, the server returns a response before the timeout period has elapsed or the server deadline for synchronous requests is reached, whichever is sooner.

For asynchronous requests, the server will generate a solution (if possible) before the timeout has elapsed.

.google.protobuf.Duration timeout = 2;

If true, travel distances will be computed using geodesic distances instead of Google Maps distances, and travel times will be computed using geodesic distances with a speed defined by geodesic_meters_per_second.

bool use_geodesic_distances = 15;