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// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: ortools/constraint_solver/routing_enums.proto
package com.google.ortools.constraintsolver;
/**
*
* First solution strategies, used as starting point of local search.
*
*
* Protobuf type {@code operations_research.FirstSolutionStrategy}
*/
public final class FirstSolutionStrategy extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:operations_research.FirstSolutionStrategy)
FirstSolutionStrategyOrBuilder {
private static final long serialVersionUID = 0L;
// Use FirstSolutionStrategy.newBuilder() to construct.
private FirstSolutionStrategy(com.google.protobuf.GeneratedMessageV3.Builder> builder) {
super(builder);
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private FirstSolutionStrategy() {
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public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return com.google.ortools.constraintsolver.RoutingEnums.internal_static_operations_research_FirstSolutionStrategy_descriptor;
}
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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/**
* Protobuf enum {@code operations_research.FirstSolutionStrategy.Value}
*/
public enum Value
implements com.google.protobuf.ProtocolMessageEnum {
/**
*
* Lets the solver detect which strategy to use according to the model being
* solved.
*
*
* AUTOMATIC = 0;
*/
AUTOMATIC(0),
/**
*
* --- Path addition heuristics ---
* Starting from a route "start" node, connect it to the node which produces
* the cheapest route segment, then extend the route by iterating on the
* last node added to the route.
*
*
* PATH_CHEAPEST_ARC = 3;
*/
PATH_CHEAPEST_ARC(3),
/**
*
* Same as PATH_CHEAPEST_ARC, but arcs are evaluated with a comparison-based
* selector which will favor the most constrained arc first. To assign a
* selector to the routing model, see
* RoutingModel::ArcIsMoreConstrainedThanArc() in routing.h for details.
*
*
* PATH_MOST_CONSTRAINED_ARC = 4;
*/
PATH_MOST_CONSTRAINED_ARC(4),
/**
*
* Same as PATH_CHEAPEST_ARC, except that arc costs are evaluated using the
* function passed to RoutingModel::SetFirstSolutionEvaluator()
* (cf. routing.h).
*
*
* EVALUATOR_STRATEGY = 5;
*/
EVALUATOR_STRATEGY(5),
/**
*
* Savings algorithm (Clarke & Wright).
* Reference: Clarke, G. & Wright, J.W.:
* "Scheduling of Vehicles from a Central Depot to a Number of Delivery
* Points", Operations Research, Vol. 12, 1964, pp. 568-581
*
*
* SAVINGS = 10;
*/
SAVINGS(10),
/**
*
* Sweep algorithm (Wren & Holliday).
* Reference: Anthony Wren & Alan Holliday: Computer Scheduling of Vehicles
* from One or More Depots to a Number of Delivery Points Operational
* Research Quarterly (1970-1977),
* Vol. 23, No. 3 (Sep., 1972), pp. 333-344
*
*
* SWEEP = 11;
*/
SWEEP(11),
/**
*
* Christofides algorithm (actually a variant of the Christofides algorithm
* using a maximal matching instead of a maximum matching, which does
* not guarantee the 3/2 factor of the approximation on a metric travelling
* salesman). Works on generic vehicle routing models by extending a route
* until no nodes can be inserted on it.
* Reference: Nicos Christofides, Worst-case analysis of a new heuristic for
* the travelling salesman problem, Report 388, Graduate School of
* Industrial Administration, CMU, 1976.
*
*
* CHRISTOFIDES = 13;
*/
CHRISTOFIDES(13),
/**
*
* --- Path insertion heuristics ---
* Make all nodes inactive. Only finds a solution if nodes are optional (are
* element of a disjunction constraint with a finite penalty cost).
*
*
* ALL_UNPERFORMED = 6;
*/
ALL_UNPERFORMED(6),
/**
*
* Iteratively build a solution by inserting the cheapest node at its
* cheapest position; the cost of insertion is based on the global cost
* function of the routing model. As of 2/2012, only works on models with
* optional nodes (with finite penalty costs).
*
*
* BEST_INSERTION = 7;
*/
BEST_INSERTION(7),
/**
*
* Iteratively build a solution by inserting the cheapest node at its
* cheapest position; the cost of insertion is based on the the arc cost
* function. Is faster than BEST_INSERTION.
*
*
* PARALLEL_CHEAPEST_INSERTION = 8;
*/
PARALLEL_CHEAPEST_INSERTION(8),
/**
*
* Iteratively build a solution by inserting each node at its cheapest
* position; the cost of insertion is based on the the arc cost function.
* Differs from PARALLEL_CHEAPEST_INSERTION by the node selected for
* insertion; here nodes are considered in their order of creation. Is
* faster than PARALLEL_CHEAPEST_INSERTION.
*
*
* LOCAL_CHEAPEST_INSERTION = 9;
*/
LOCAL_CHEAPEST_INSERTION(9),
/**
*
* --- Variable-based heuristics ---
* Iteratively connect two nodes which produce the cheapest route segment.
*
*
* GLOBAL_CHEAPEST_ARC = 1;
*/
GLOBAL_CHEAPEST_ARC(1),
/**
*
* Select the first node with an unbound successor and connect it to the
* node which produces the cheapest route segment.
*
*
* LOCAL_CHEAPEST_ARC = 2;
*/
LOCAL_CHEAPEST_ARC(2),
/**
*
* Select the first node with an unbound successor and connect it to the
* first available node.
* This is equivalent to the CHOOSE_FIRST_UNBOUND strategy combined with
* ASSIGN_MIN_VALUE (cf. constraint_solver.h).
*
*
* FIRST_UNBOUND_MIN_VALUE = 12;
*/
FIRST_UNBOUND_MIN_VALUE(12),
UNRECOGNIZED(-1),
;
/**
*
* Lets the solver detect which strategy to use according to the model being
* solved.
*
*
* AUTOMATIC = 0;
*/
public static final int AUTOMATIC_VALUE = 0;
/**
*
* --- Path addition heuristics ---
* Starting from a route "start" node, connect it to the node which produces
* the cheapest route segment, then extend the route by iterating on the
* last node added to the route.
*
*
* PATH_CHEAPEST_ARC = 3;
*/
public static final int PATH_CHEAPEST_ARC_VALUE = 3;
/**
*
* Same as PATH_CHEAPEST_ARC, but arcs are evaluated with a comparison-based
* selector which will favor the most constrained arc first. To assign a
* selector to the routing model, see
* RoutingModel::ArcIsMoreConstrainedThanArc() in routing.h for details.
*
*
* PATH_MOST_CONSTRAINED_ARC = 4;
*/
public static final int PATH_MOST_CONSTRAINED_ARC_VALUE = 4;
/**
*
* Same as PATH_CHEAPEST_ARC, except that arc costs are evaluated using the
* function passed to RoutingModel::SetFirstSolutionEvaluator()
* (cf. routing.h).
*
*
* EVALUATOR_STRATEGY = 5;
*/
public static final int EVALUATOR_STRATEGY_VALUE = 5;
/**
*
* Savings algorithm (Clarke & Wright).
* Reference: Clarke, G. & Wright, J.W.:
* "Scheduling of Vehicles from a Central Depot to a Number of Delivery
* Points", Operations Research, Vol. 12, 1964, pp. 568-581
*
*
* SAVINGS = 10;
*/
public static final int SAVINGS_VALUE = 10;
/**
*
* Sweep algorithm (Wren & Holliday).
* Reference: Anthony Wren & Alan Holliday: Computer Scheduling of Vehicles
* from One or More Depots to a Number of Delivery Points Operational
* Research Quarterly (1970-1977),
* Vol. 23, No. 3 (Sep., 1972), pp. 333-344
*
*
* SWEEP = 11;
*/
public static final int SWEEP_VALUE = 11;
/**
*
* Christofides algorithm (actually a variant of the Christofides algorithm
* using a maximal matching instead of a maximum matching, which does
* not guarantee the 3/2 factor of the approximation on a metric travelling
* salesman). Works on generic vehicle routing models by extending a route
* until no nodes can be inserted on it.
* Reference: Nicos Christofides, Worst-case analysis of a new heuristic for
* the travelling salesman problem, Report 388, Graduate School of
* Industrial Administration, CMU, 1976.
*
*
* CHRISTOFIDES = 13;
*/
public static final int CHRISTOFIDES_VALUE = 13;
/**
*
* --- Path insertion heuristics ---
* Make all nodes inactive. Only finds a solution if nodes are optional (are
* element of a disjunction constraint with a finite penalty cost).
*
*
* ALL_UNPERFORMED = 6;
*/
public static final int ALL_UNPERFORMED_VALUE = 6;
/**
*
* Iteratively build a solution by inserting the cheapest node at its
* cheapest position; the cost of insertion is based on the global cost
* function of the routing model. As of 2/2012, only works on models with
* optional nodes (with finite penalty costs).
*
*
* BEST_INSERTION = 7;
*/
public static final int BEST_INSERTION_VALUE = 7;
/**
*
* Iteratively build a solution by inserting the cheapest node at its
* cheapest position; the cost of insertion is based on the the arc cost
* function. Is faster than BEST_INSERTION.
*
*
* PARALLEL_CHEAPEST_INSERTION = 8;
*/
public static final int PARALLEL_CHEAPEST_INSERTION_VALUE = 8;
/**
*
* Iteratively build a solution by inserting each node at its cheapest
* position; the cost of insertion is based on the the arc cost function.
* Differs from PARALLEL_CHEAPEST_INSERTION by the node selected for
* insertion; here nodes are considered in their order of creation. Is
* faster than PARALLEL_CHEAPEST_INSERTION.
*
*
* LOCAL_CHEAPEST_INSERTION = 9;
*/
public static final int LOCAL_CHEAPEST_INSERTION_VALUE = 9;
/**
*
* --- Variable-based heuristics ---
* Iteratively connect two nodes which produce the cheapest route segment.
*
*
* GLOBAL_CHEAPEST_ARC = 1;
*/
public static final int GLOBAL_CHEAPEST_ARC_VALUE = 1;
/**
*
* Select the first node with an unbound successor and connect it to the
* node which produces the cheapest route segment.
*
*
* LOCAL_CHEAPEST_ARC = 2;
*/
public static final int LOCAL_CHEAPEST_ARC_VALUE = 2;
/**
*
* Select the first node with an unbound successor and connect it to the
* first available node.
* This is equivalent to the CHOOSE_FIRST_UNBOUND strategy combined with
* ASSIGN_MIN_VALUE (cf. constraint_solver.h).
*
*
* FIRST_UNBOUND_MIN_VALUE = 12;
*/
public static final int FIRST_UNBOUND_MIN_VALUE_VALUE = 12;
public final int getNumber() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalArgumentException(
"Can't get the number of an unknown enum value.");
}
return value;
}
/**
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static Value valueOf(int value) {
return forNumber(value);
}
public static Value forNumber(int value) {
switch (value) {
case 0: return AUTOMATIC;
case 3: return PATH_CHEAPEST_ARC;
case 4: return PATH_MOST_CONSTRAINED_ARC;
case 5: return EVALUATOR_STRATEGY;
case 10: return SAVINGS;
case 11: return SWEEP;
case 13: return CHRISTOFIDES;
case 6: return ALL_UNPERFORMED;
case 7: return BEST_INSERTION;
case 8: return PARALLEL_CHEAPEST_INSERTION;
case 9: return LOCAL_CHEAPEST_INSERTION;
case 1: return GLOBAL_CHEAPEST_ARC;
case 2: return LOCAL_CHEAPEST_ARC;
case 12: return FIRST_UNBOUND_MIN_VALUE;
default: return null;
}
}
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return com.google.ortools.constraintsolver.FirstSolutionStrategy.getDescriptor().getEnumTypes().get(0);
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/**
*
* First solution strategies, used as starting point of local search.
*
*
* Protobuf type {@code operations_research.FirstSolutionStrategy}
*/
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