Package org.tweetyproject.math.examples

Class KnapSack

java.lang.Object

java.util.AbstractCollection<E>

java.util.AbstractSet<E>

java.util.HashSet<OptProbElement>

org.tweetyproject.math.opt.problem.GeneralConstraintSatisfactionProblem

org.tweetyproject.math.opt.problem.CombinatoricsProblem

org.tweetyproject.math.examples.KnapSack

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, java.lang.Iterable<OptProbElement>, java.util.Collection<OptProbElement>, java.util.Set<OptProbElement>

public class KnapSack
extends CombinatoricsProblem

This class implements a KnapSack problem

Author:

Sebastian Franke

See Also:

Serialized Form

Field Summary

Fields inherited from class org.tweetyproject.math.opt.problem.CombinatoricsProblem

elements, MAXIMIZE, MINIMIZE

Constructor Summary

Constructors

Constructor	Description
KnapSack(java.util.ArrayList<ElementOfCombinatoricsProb> elements, Term maxWeight)

Method Summary

Modifier and Type	Method	Description
java.util.ArrayList<ElementOfCombinatoricsProb>	createRandomNewSolution(java.util.ArrayList<ElementOfCombinatoricsProb> currSol)	create a solution that changes the solution currSol a little bit (i.e.: for TSP: swap 2 cities; for KnapSack: add a random element) for currSol == null: create a random solution
double	evaluate(java.util.ArrayList<ElementOfCombinatoricsProb> sol)	evaluates the solution
java.lang.Double	getHeuristicValue(ElementOfCombinatoricsProb solutionComponent, java.lang.Integer getCurrentIndex, ElementOfCombinatoricsProb initialReference, ElementOfCombinatoricsProb[] sol)	since this class is not used with ant optimization, we do not need this method
double[][]	getRepresentation()	since this class is not used with ant optimization, we do not need this method
boolean	isValid(java.util.ArrayList<ElementOfCombinatoricsProb> sol)	checks if a given solution is valid under all constraints
double	sumOfValues(java.util.ArrayList<ElementOfCombinatoricsProb> sol)
double	sumOfWeights(java.util.ArrayList<ElementOfCombinatoricsProb> sol)

Methods inherited from class org.tweetyproject.math.opt.problem.CombinatoricsProblem

createDifference, formNeighborhood, getGraphrepresentation

Methods inherited from class java.util.HashSet

add, clear, clone, contains, isEmpty, iterator, remove, size, spliterator

Methods inherited from class java.util.AbstractSet

equals, hashCode, removeAll

Methods inherited from class java.util.AbstractCollection

addAll, containsAll, retainAll, toArray, toArray, toString

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Collection

parallelStream, removeIf, stream, toArray

Methods inherited from interface java.lang.Iterable

forEach

Methods inherited from interface java.util.Set

addAll, containsAll, equals, hashCode, removeAll, retainAll, toArray, toArray

Constructor Detail

KnapSack

public KnapSack(java.util.ArrayList<ElementOfCombinatoricsProb> elements,
                Term maxWeight)

Method Detail

sumOfWeights

public double sumOfWeights(java.util.ArrayList<ElementOfCombinatoricsProb> sol)

Specified by:

sumOfWeights in class CombinatoricsProblem

Parameters:

sol - is the solution to be viewd

Returns:

if the solution sol is valid under the constraints of the problem

sumOfValues

public double sumOfValues(java.util.ArrayList<ElementOfCombinatoricsProb> sol)

createRandomNewSolution

public java.util.ArrayList<ElementOfCombinatoricsProb> createRandomNewSolution(java.util.ArrayList<ElementOfCombinatoricsProb> currSol)

Description copied from class: CombinatoricsProblem

create a solution that changes the solution currSol a little bit (i.e.: for TSP: swap 2 cities; for KnapSack: add a random element) for currSol == null: create a random solution

Specified by:

createRandomNewSolution in class CombinatoricsProblem

Parameters:

currSol - the current solution

Returns:

the solution

isValid

public boolean isValid(java.util.ArrayList<ElementOfCombinatoricsProb> sol)

Description copied from class: CombinatoricsProblem

checks if a given solution is valid under all constraints

Specified by:

isValid in class CombinatoricsProblem

Parameters:

sol - some solution

Returns:

true iff the solution is valid

evaluate

public double evaluate(java.util.ArrayList<ElementOfCombinatoricsProb> sol)

Description copied from class: CombinatoricsProblem

evaluates the solution

Specified by:

evaluate in class CombinatoricsProblem

Parameters:

sol - some solution

Returns:

the target function for sol

getHeuristicValue

public java.lang.Double getHeuristicValue(ElementOfCombinatoricsProb solutionComponent,
                                          java.lang.Integer getCurrentIndex,
                                          ElementOfCombinatoricsProb initialReference,
                                          ElementOfCombinatoricsProb[] sol)

since this class is not used with ant optimization, we do not need this method

Specified by:

getHeuristicValue in class CombinatoricsProblem

Parameters:

solutionComponent - : Element to be checked *

getCurrentIndex - : the length of the solution

initialReference - : default starting point for the solution (the first Element in the solution)

sol - : array representation of a solution (needed for Ant optimization)

Returns:

the heuristic value

getRepresentation

public double[][] getRepresentation()

since this class is not used with ant optimization, we do not need this method

Specified by:

getRepresentation in class CombinatoricsProblem