Class RoutingDimension
java.lang.Object
com.google.ortools.constraintsolver.RoutingDimension
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.
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.
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Field Summary
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionvoidaddNodePrecedence(long first_node, long second_node, long offset) Returns the parent in the dependency tree if any or nullptr otherwise.IntVar[]cumuls()Like CumulVar(), TransitVar(), SlackVar() but return the whole variable
vectors instead (indexed by int64_t var index).cumulVar(long index) Get the cumul, transit and slack variables for the given node (given as
int64_t var index).voiddelete()protected voidfinalize()IntVar[]fixedTransitVar(long index) getBreakIntervalsOfVehicle(int vehicle) Returns the break intervals set by SetBreakIntervalsOfVehicle().static longgetCPtr(RoutingDimension obj) longGetCumulVarMax(long index) Gets the current maximum of the cumul variable associated to index.longGetCumulVarMin(long index) Gets the current minimum of the cumul variable associated to index.longgetCumulVarSoftLowerBound(long index) Returns the soft lower bound of a cumul variable for a given variable
index.longgetCumulVarSoftLowerBoundCoefficient(long index) Returns the cost coefficient of the soft lower bound of a cumul variable
for a given variable index.longgetCumulVarSoftUpperBound(long index) Returns the soft upper bound of a cumul variable for a given variable
index.longgetCumulVarSoftUpperBoundCoefficient(long index) Returns the cost coefficient of the soft upper bound of a cumul variable
for a given variable index.longlonglonggetLocalOptimizerOffsetForVehicle(int vehicle) intGetPostTravelEvaluatorOfVehicle(int vehicle) intGetPreTravelEvaluatorOfVehicle(int vehicle) getQuadraticCostSoftSpanUpperBoundForVehicle(int vehicle) longGetSlackCostCoefficientForVehicle(int vehicle) getSoftSpanUpperBoundForVehicle(int vehicle) longgetSpanCostCoefficientForVehicle(int vehicle) longgetSpanUpperBoundForVehicle(int vehicle) longgetTransitValue(long from_index, long to_index, long 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'.longgetTransitValueFromClass(long from_index, long to_index, long 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()).booleanReturns true if any break interval or break distance was defined.booleanhasCumulVarSoftLowerBound(long index) Returns true if a soft lower bound has been set for a given variable
index.booleanhasCumulVarSoftUpperBound(long index) Returns true if a soft upper bound has been set for a given variable
index.booleanbooleanbooleanvoidSets up vehicle_break_intervals_, vehicle_break_distance_duration_,
pre_travel_evaluators and post_travel_evaluators.model()Returns the model on which the dimension was created.name()Returns the name of the dimension.voidsetBreakDistanceDurationOfVehicle(long distance, long duration, int 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.voidsetBreakIntervalsOfVehicle(IntervalVar[] breaks, int vehicle, int pre_travel_evaluator, int post_travel_evaluator) Sets the breaks for a given vehicle.voidsetBreakIntervalsOfVehicle(IntervalVar[] breaks, int vehicle, long[] node_visit_transits) Deprecated, sets pre_travel(i, j) = node_visit_transit[i].voidsetBreakIntervalsOfVehicle(IntervalVar[] breaks, int vehicle, long[] node_visit_transits, LongBinaryOperator delays) Deprecated, sets pre_travel(i, j) = node_visit_transit[i]
and post_travel(i, j) = delays(i, j).voidSetCumulVarRange(long index, long min, long max) Some functions to allow users to use the interface without knowing about
the underlying CP model.
Restricts the range of the cumul variable associated to index.voidsetCumulVarSoftLowerBound(long index, long lower_bound, long 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.voidsetCumulVarSoftUpperBound(long index, long upper_bound, long 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.voidsetGlobalSpanCostCoefficient(long 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)).voidsetPickupToDeliveryLimitFunctionForPair(IntIntToLongFunction limit_function, int pair_index) voidsetQuadraticCostSoftSpanUpperBoundForVehicle(BoundCost bound_cost, int vehicle) If the span of vehicle on this dimension is larger than bound,
the cost will be increased by cost * (span - bound)^2.voidSetSlackCostCoefficientForAllVehicles(long coefficient) voidSetSlackCostCoefficientForVehicle(long coefficient, int vehicle) Sets a cost proportional to the dimension total slack on a given vehicle,
or on all vehicles at once.voidsetSoftSpanUpperBoundForVehicle(BoundCost bound_cost, int vehicle) If the span of vehicle on this dimension is larger than bound,
the cost will be increased by cost * (span - bound).voidsetSpanCostCoefficientForAllVehicles(long coefficient) voidsetSpanCostCoefficientForVehicle(long coefficient, int vehicle) Sets a cost proportional to the dimension span on a given vehicle,
or on all vehicles at once.voidsetSpanUpperBoundForVehicle(long upper_bound, int vehicle) Sets an upper bound on the dimension span on a given vehicle.longshortestTransitionSlack(long 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.IntVar[]slacks()slackVar(long index) static longIntVar[]transits()transitVar(long index)
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Field Details
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swigCMemOwn
protected transient boolean swigCMemOwn
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Constructor Details
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RoutingDimension
public RoutingDimension(long cPtr, boolean cMemoryOwn)
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Method Details
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getCPtr
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swigRelease
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finalize
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delete
public void delete() -
model
Returns the model on which the dimension was created. -
getTransitValue
public long getTransitValue(long from_index, long to_index, long 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'. -
getTransitValueFromClass
public long getTransitValueFromClass(long from_index, long to_index, long 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()). -
cumulVar
Get the cumul, transit and slack variables for the given node (given as
int64_t var index). -
transitVar
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fixedTransitVar
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slackVar
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SetCumulVarRange
public void SetCumulVarRange(long index, long min, long max) Some functions to allow users to use the interface without knowing about
the underlying CP model.
Restricts the range of the cumul variable associated to index. -
GetCumulVarMin
public long GetCumulVarMin(long index) Gets the current minimum of the cumul variable associated to index. -
GetCumulVarMax
public long GetCumulVarMax(long index) Gets the current maximum of the cumul variable associated to index. -
cumuls
Like CumulVar(), TransitVar(), SlackVar() but return the whole variable
vectors instead (indexed by int64_t var index). -
fixed_transits
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transits
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slacks
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setSpanUpperBoundForVehicle
public void setSpanUpperBoundForVehicle(long upper_bound, int 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. -
setSpanCostCoefficientForVehicle
public void setSpanCostCoefficientForVehicle(long coefficient, int 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). -
setSpanCostCoefficientForAllVehicles
public void setSpanCostCoefficientForAllVehicles(long coefficient) -
SetSlackCostCoefficientForVehicle
public void SetSlackCostCoefficientForVehicle(long coefficient, int 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). -
SetSlackCostCoefficientForAllVehicles
public void SetSlackCostCoefficientForAllVehicles(long coefficient) -
setGlobalSpanCostCoefficient
public void setGlobalSpanCostCoefficient(long 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)). -
setCumulVarSoftUpperBound
public void setCumulVarSoftUpperBound(long index, long upper_bound, long 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. -
hasCumulVarSoftUpperBound
public boolean hasCumulVarSoftUpperBound(long index) Returns true if a soft upper bound has been set for a given variable
index. -
getCumulVarSoftUpperBound
public long getCumulVarSoftUpperBound(long 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. -
getCumulVarSoftUpperBoundCoefficient
public long getCumulVarSoftUpperBoundCoefficient(long 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. -
setCumulVarSoftLowerBound
public void setCumulVarSoftLowerBound(long index, long lower_bound, long 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. -
hasCumulVarSoftLowerBound
public boolean hasCumulVarSoftLowerBound(long index) Returns true if a soft lower bound has been set for a given variable
index. -
getCumulVarSoftLowerBound
public long getCumulVarSoftLowerBound(long 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. -
getCumulVarSoftLowerBoundCoefficient
public long getCumulVarSoftLowerBoundCoefficient(long 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. -
setBreakIntervalsOfVehicle
public void setBreakIntervalsOfVehicle(IntervalVar[] breaks, int vehicle, int pre_travel_evaluator, int post_travel_evaluator) 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. -
setBreakIntervalsOfVehicle
public void setBreakIntervalsOfVehicle(IntervalVar[] breaks, int vehicle, long[] node_visit_transits) Deprecated, sets pre_travel(i, j) = node_visit_transit[i]. -
setBreakDistanceDurationOfVehicle
public void setBreakDistanceDurationOfVehicle(long distance, long duration, int 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. -
InitializeBreaks
public void InitializeBreaks()Sets up vehicle_break_intervals_, vehicle_break_distance_duration_,
pre_travel_evaluators and post_travel_evaluators. -
HasBreakConstraints
public boolean HasBreakConstraints()Returns true if any break interval or break distance was defined. -
setBreakIntervalsOfVehicle
public void setBreakIntervalsOfVehicle(IntervalVar[] breaks, int vehicle, long[] node_visit_transits, LongBinaryOperator delays) Deprecated, sets pre_travel(i, j) = node_visit_transit[i]
and post_travel(i, j) = delays(i, j). -
getBreakIntervalsOfVehicle
Returns the break intervals set by SetBreakIntervalsOfVehicle(). -
GetPreTravelEvaluatorOfVehicle
public int GetPreTravelEvaluatorOfVehicle(int vehicle) -
GetPostTravelEvaluatorOfVehicle
public int GetPostTravelEvaluatorOfVehicle(int vehicle) -
base_dimension
Returns the parent in the dependency tree if any or nullptr otherwise. -
shortestTransitionSlack
public long shortestTransitionSlack(long 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. -
name
Returns the name of the dimension. -
setPickupToDeliveryLimitFunctionForPair
public void setPickupToDeliveryLimitFunctionForPair(IntIntToLongFunction limit_function, int pair_index) -
hasPickupToDeliveryLimits
public boolean hasPickupToDeliveryLimits() -
addNodePrecedence
public void addNodePrecedence(long first_node, long second_node, long offset) -
getSpanUpperBoundForVehicle
public long getSpanUpperBoundForVehicle(int vehicle) -
getSpanCostCoefficientForVehicle
public long getSpanCostCoefficientForVehicle(int vehicle) -
GetSlackCostCoefficientForVehicle
public long GetSlackCostCoefficientForVehicle(int vehicle) -
getGlobalSpanCostCoefficient
public long getGlobalSpanCostCoefficient() -
GetGlobalOptimizerOffset
public long GetGlobalOptimizerOffset() -
getLocalOptimizerOffsetForVehicle
public long getLocalOptimizerOffsetForVehicle(int vehicle) -
setSoftSpanUpperBoundForVehicle
If the span of vehicle on this dimension is larger than bound,
the cost will be increased by cost * (span - bound). -
hasSoftSpanUpperBounds
public boolean hasSoftSpanUpperBounds() -
getSoftSpanUpperBoundForVehicle
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setQuadraticCostSoftSpanUpperBoundForVehicle
If the span of vehicle on this dimension is larger than bound,
the cost will be increased by cost * (span - bound)^2. -
hasQuadraticCostSoftSpanUpperBounds
public boolean hasQuadraticCostSoftSpanUpperBounds() -
getQuadraticCostSoftSpanUpperBoundForVehicle
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