Google OR-Tools v9.11
a fast and portable software suite for combinatorial optimization
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Properties | |
thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag") | |
Dimensions represent quantities accumulated at nodes along the routes. They represent quantities such as weights or volumes carried along the route, or distance or times. Quantities at a node are represented by "cumul" variables and the increase or decrease of quantities between nodes are represented by "transit" variables. These variables are linked as follows: if j == next(i), cumuls(j) = cumuls(i) + transits(i) + slacks(i) + state_dependent_transits(i) where slack is a positive slack variable (can represent waiting times for a time dimension), and state_dependent_transits is a non-purely functional version of transits_. Favour transits over state_dependent_transits when possible, because purely functional callbacks allow more optimisations and make the model faster and easier to solve. for a given vehicle, it is passed as an external vector, it would be better to have this information here.
Definition at line 6154 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.__init__ | ( | self, | |
* | args, | ||
** | kwargs ) |
Definition at line 6179 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.AddNodePrecedence | ( | self, | |
first_node, | |||
second_node, | |||
offset ) |
Definition at line 6413 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.base_dimension | ( | self | ) |
Returns the parent in the dependency tree if any or nullptr otherwise.
Definition at line 6387 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.CumulVar | ( | self, | |
index ) |
Get the cumul, transit and slack variables for the given node (given as int64_t var index).
Definition at line 6203 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.FixedTransitVar | ( | self, | |
index ) |
Definition at line 6213 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetCumulVarSoftLowerBound | ( | self, | |
index ) |
Returns the soft lower bound of a cumul variable for a given variable index. The "hard" lower bound of the variable is returned if no soft lower bound has been set.
Definition at line 6324 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetCumulVarSoftLowerBoundCoefficient | ( | self, | |
index ) |
Returns the cost coefficient of the soft lower bound of a cumul variable for a given variable index. If no soft lower bound has been set, 0 is returned.
Definition at line 6332 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetCumulVarSoftUpperBound | ( | self, | |
index ) |
Returns the soft upper bound of a cumul variable for a given variable index. The "hard" upper bound of the variable is returned if no soft upper bound has been set.
Definition at line 6287 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetCumulVarSoftUpperBoundCoefficient | ( | self, | |
index ) |
Returns the cost coefficient of the soft upper bound of a cumul variable for a given variable index. If no soft upper bound has been set, 0 is returned.
Definition at line 6295 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetGlobalOptimizerOffset | ( | self | ) |
Definition at line 6428 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetLocalOptimizerOffsetForVehicle | ( | self, | |
vehicle ) |
Definition at line 6431 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetPostTravelEvaluatorOfVehicle | ( | self, | |
vehicle ) |
Definition at line 6384 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetPreTravelEvaluatorOfVehicle | ( | self, | |
vehicle ) |
Definition at line 6381 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetQuadraticCostSoftSpanUpperBoundForVehicle | ( | self, | |
vehicle ) |
Definition at line 6457 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetSlackCostCoefficientForVehicle | ( | self, | |
vehicle ) |
Definition at line 6422 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetSoftSpanUpperBoundForVehicle | ( | self, | |
vehicle ) |
Definition at line 6444 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetSpanCostCoefficientForVehicle | ( | self, | |
vehicle ) |
Definition at line 6419 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetSpanUpperBoundForVehicle | ( | self, | |
vehicle ) |
Definition at line 6416 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetTransitValue | ( | self, | |
from_index, | |||
to_index, | |||
vehicle ) |
Returns the transition value for a given pair of nodes (as var index); this value is the one taken by the corresponding transit variable when the 'next' variable for 'from_index' is bound to 'to_index'.
Definition at line 6188 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.GetTransitValueFromClass | ( | self, | |
from_index, | |||
to_index, | |||
vehicle_class ) |
Same as above but taking a vehicle class of the dimension instead of a vehicle (the class of a vehicle can be obtained with vehicle_to_class()).
Definition at line 6196 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.global_span_cost_coefficient | ( | self | ) |
Definition at line 6425 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.HasBreakConstraints | ( | self | ) |
Returns true if any break interval or break distance was defined.
Definition at line 6377 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.HasCumulVarSoftLowerBound | ( | self, | |
index ) |
Returns true if a soft lower bound has been set for a given variable index.
Definition at line 6317 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.HasCumulVarSoftUpperBound | ( | self, | |
index ) |
Returns true if a soft upper bound has been set for a given variable index.
Definition at line 6280 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.HasPickupToDeliveryLimits | ( | self | ) |
Definition at line 6410 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.HasQuadraticCostSoftSpanUpperBounds | ( | self | ) |
Definition at line 6454 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.HasSoftSpanUpperBounds | ( | self | ) |
Definition at line 6441 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.InitializeBreaks | ( | self | ) |
Sets up vehicle_break_intervals_, vehicle_break_distance_duration_, pre_travel_evaluators and post_travel_evaluators.
Definition at line 6370 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.model | ( | self | ) |
Returns the model on which the dimension was created.
Definition at line 6184 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.name | ( | self | ) |
Returns the name of the dimension.
Definition at line 6403 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.SetBreakDistanceDurationOfVehicle | ( | self, | |
distance, | |||
duration, | |||
vehicle ) |
With breaks supposed to be consecutive, this forces the distance between breaks of size at least minimum_break_duration to be at most distance. This supposes that the time until route start and after route end are infinite breaks.
Definition at line 6361 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.SetBreakIntervalsOfVehicle | ( | self, | |
breaks, | |||
vehicle, | |||
node_visit_transits ) |
Sets the breaks for a given vehicle. Breaks are represented by IntervalVars. They may interrupt transits between nodes and increase the value of corresponding slack variables. A break may take place before the start of a vehicle, after the end of a vehicle, or during a travel i -> j. In that case, the interval [break.Start(), break.End()) must be a subset of [CumulVar(i) + pre_travel(i, j), CumulVar(j) - post_travel(i, j)). In other words, a break may not overlap any node n's visit, given by [CumulVar(n) - post_travel(_, n), CumulVar(n) + pre_travel(n, _)). This formula considers post_travel(_, start) and pre_travel(end, _) to be 0; pre_travel will never be called on any (_, start) and post_travel will never we called on any (end, _). If pre_travel_evaluator or post_travel_evaluator is -1, it will be taken as a function that always returns 0. Deprecated, sets pre_travel(i, j) = node_visit_transit[i].
Definition at line 6340 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.SetCumulVarSoftLowerBound | ( | self, | |
index, | |||
lower_bound, | |||
coefficient ) |
Sets a soft lower bound to the cumul variable of a given variable index. If the value of the cumul variable is less than the bound, a cost proportional to the difference between this value and the bound is added to the cost function of the model: cumulVar > lower_bound -> cost = 0 cumulVar <= lower_bound -> cost = coefficient * (lower_bound - cumulVar). This is also handy to model earliness costs when the dimension represents time.
Definition at line 6303 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.SetCumulVarSoftUpperBound | ( | self, | |
index, | |||
upper_bound, | |||
coefficient ) |
Sets a soft upper bound to the cumul variable of a given variable index. If the value of the cumul variable is greater than the bound, a cost proportional to the difference between this value and the bound is added to the cost function of the model: cumulVar <= upper_bound -> cost = 0 cumulVar > upper_bound -> cost = coefficient * (cumulVar - upper_bound) This is also handy to model tardiness costs when the dimension represents time.
Definition at line 6267 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.SetGlobalSpanCostCoefficient | ( | self, | |
coefficient ) |
Sets a cost proportional to the *global* dimension span, that is the difference between the largest value of route end cumul variables and the smallest value of route start cumul variables. In other words: global_span_cost = coefficient * (Max(dimension end value) - Min(dimension start value)).
Definition at line 6256 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.SetPickupToDeliveryLimitFunctionForPair | ( | self, | |
limit_function, | |||
pair_index ) |
Definition at line 6407 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.SetQuadraticCostSoftSpanUpperBoundForVehicle | ( | self, | |
bound_cost, | |||
vehicle ) |
If the span of vehicle on this dimension is larger than bound, the cost will be increased by cost * (span - bound)^2.
Definition at line 6447 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.SetSlackCostCoefficientForAllVehicles | ( | self, | |
coefficient ) |
Definition at line 6253 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.SetSlackCostCoefficientForVehicle | ( | self, | |
coefficient, | |||
vehicle ) |
Sets a cost proportional to the dimension total slack on a given vehicle, or on all vehicles at once. "coefficient" must be nonnegative. This is handy to model costs only proportional to idle time when the dimension represents time. The cost for a vehicle is slack_cost = coefficient * (dimension end value - dimension start value - total_transit).
Definition at line 6241 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.SetSoftSpanUpperBoundForVehicle | ( | self, | |
bound_cost, | |||
vehicle ) |
If the span of vehicle on this dimension is larger than bound, the cost will be increased by cost * (span - bound).
Definition at line 6434 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.SetSpanCostCoefficientForAllVehicles | ( | self, | |
coefficient ) |
Definition at line 6238 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.SetSpanCostCoefficientForVehicle | ( | self, | |
coefficient, | |||
vehicle ) |
Sets a cost proportional to the dimension span on a given vehicle, or on all vehicles at once. "coefficient" must be nonnegative. This is handy to model costs proportional to idle time when the dimension represents time. The cost for a vehicle is span_cost = coefficient * (dimension end value - dimension start value).
Definition at line 6227 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.SetSpanUpperBoundForVehicle | ( | self, | |
upper_bound, | |||
vehicle ) |
Sets an upper bound on the dimension span on a given vehicle. This is the preferred way to limit the "length" of the route of a vehicle according to a dimension.
Definition at line 6219 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.ShortestTransitionSlack | ( | self, | |
node ) |
It makes sense to use the function only for self-dependent dimension. For such dimensions the value of the slack of a node determines the transition cost of the next transit. Provided that 1. cumul[node] is fixed, 2. next[node] and next[next[node]] (if exists) are fixed, the value of slack[node] for which cumul[next[node]] + transit[next[node]] is minimized can be found in O(1) using this function.
Definition at line 6391 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.SlackVar | ( | self, | |
index ) |
Definition at line 6216 of file pywrapcp.py.
ortools.constraint_solver.pywrapcp.RoutingDimension.TransitVar | ( | self, | |
index ) |
Definition at line 6210 of file pywrapcp.py.
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static |
Definition at line 6177 of file pywrapcp.py.