Module org.cicirello.chips_n_salsa
Class NearestCityHeuristic
java.lang.Object
org.cicirello.search.problems.tsp.NearestCityHeuristic
 All Implemented Interfaces:
Splittable<ConstructiveHeuristic<Permutation>>
,ConstructiveHeuristic<Permutation>
public final class NearestCityHeuristic
extends Object
implements ConstructiveHeuristic<Permutation>
This class implements a nearest city constructive heuristic for the TSP for use by stochastic
sampling algorithms. The nearest city heuristic prefers cities that are closest to the city most
recently added to the tour. Since the stochastic sampling algorithms of the library require
higher heuristic values to imply preferred choice, this heuristic is implemented as: h(j) == 1.0
/ (1.0 + distance(i, j)), where h(j) is the heuristic value for city j, and i is the most
recently added city. If no cities have been added yet, the heuristic simply returns 1.

Constructor Summary
ConstructorDescriptionNearestCityHeuristic
(BaseTSP problem) Constructs a nearest city heuristic for an instance of the TSP. 
Method Summary
Modifier and TypeMethodDescriptionfinal int
Gets the required length of complete solutions to the problem instance for which this constructive heuristic is configured.final Partial<Permutation>
createPartial
(int n) Creates an empty Partial solution, which will be incrementally transformed into a complete solution of a specified length.final Problem<Permutation>
Gets a reference to the instance of the optimization problem that is the subject of this heuristic.double
h
(Partial<Permutation> p, int element, IncrementalEvaluation<Permutation> incEval) Heuristically evaluates the possible addition of an element to the end of a Partial.Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
Methods inherited from interface org.cicirello.search.ss.ConstructiveHeuristic
createIncrementalEvaluation, split

Constructor Details

NearestCityHeuristic
Constructs a nearest city heuristic for an instance of the TSP. Parameters:
problem
 The TSP instance to solve.


Method Details

h
Description copied from interface:ConstructiveHeuristic
Heuristically evaluates the possible addition of an element to the end of a Partial. Higher evaluations imply that the element is a better choice for the next element to add. For example, if you evaluate two elements, x and y, with h, and h returns a higher value for y than for x, then this means that y is believed to be the better choice according to the heuristic. Implementations of this interface must ensure that h always returns a positive result. This is because stochastic sampling algorithms such as HBSS and VBSS assume that the constructive heuristic returns only positive values. Specified by:
h
in interfaceConstructiveHeuristic<Permutation>
 Parameters:
p
 The current state of the Partialelement
 The element under consideration for adding to the PartialincEval
 An IncrementalEvaluation of p. This method assumes that incEval is of the same runtime type as the object returned byConstructiveHeuristic.createIncrementalEvaluation()
. Returns:
 The heuristic evaluation of the hypothetical addition of element to the end of p. The higher the evaluation, the more important the heuristic believes that element should be added next. The intention is to compare the value returned with the heuristic evaluations of other elements. Individual results in isolation are not necessarily meaningful.

getProblem
Description copied from interface:ConstructiveHeuristic
Gets a reference to the instance of the optimization problem that is the subject of this heuristic. Specified by:
getProblem
in interfaceConstructiveHeuristic<Permutation>
 Returns:
 the instance of the optimization problem that is the subject of this heuristic.

createPartial
Description copied from interface:ConstructiveHeuristic
Creates an empty Partial solution, which will be incrementally transformed into a complete solution of a specified length. Specified by:
createPartial
in interfaceConstructiveHeuristic<Permutation>
 Parameters:
n
 the desired length of the final complete solution. Returns:
 an empty Partial solution

completeLength
public final int completeLength()Description copied from interface:ConstructiveHeuristic
Gets the required length of complete solutions to the problem instance for which this constructive heuristic is configured. Specified by:
completeLength
in interfaceConstructiveHeuristic<Permutation>
 Returns:
 length of solutions to the problem instance for which this heuristic is configured
