Package org.moeaframework.algorithm.single

Class MinMaxObjectiveComparator

java.lang.Object

org.moeaframework.algorithm.single.AbstractAggregateObjectiveComparator

org.moeaframework.algorithm.single.MinMaxObjectiveComparator

All Implemented Interfaces:

Comparator<Solution>, AggregateObjectiveComparator, DominanceComparator

public class MinMaxObjectiveComparator
extends AbstractAggregateObjectiveComparator

Weighted min-max aggregate function. By default, all weights are assumed to be equal.

See Also:

• MinMaxDominanceComparator

Field Summary

Fields inherited from class org.moeaframework.algorithm.single.AbstractAggregateObjectiveComparator

weights

Constructor Summary

Constructors

Constructor	Description
MinMaxObjectiveComparator(double... weights)	Constructs a new comparator using a weighted min-max aggregate function.

Method Summary

Modifier and Type	Method	Description
double	calculateFitness(Solution solution)	Calculates the aggregate (fitness) value of the solution using this aggregate function.
static final double	calculateFitness(Solution solution, double[] weights)	Computes the weighted min-max aggregate fitness of the solution.

Methods inherited from class org.moeaframework.algorithm.single.AbstractAggregateObjectiveComparator

compare, getWeights

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface java.util.Comparator

equals, reversed, thenComparing, thenComparing, thenComparing, thenComparingDouble, thenComparingInt, thenComparingLong

Constructor Details

MinMaxObjectiveComparator

public MinMaxObjectiveComparator(double... weights)

Constructs a new comparator using a weighted min-max aggregate function.

Parameters:

weights - the weight vector

Method Details

calculateFitness

public double calculateFitness(Solution solution)

Description copied from interface: AggregateObjectiveComparator

Calculates the aggregate (fitness) value of the solution using this aggregate function.

Parameters:

solution - the solution

Returns:

the aggregate value (smaller is better)

calculateFitness

public static final double calculateFitness(Solution solution,
 double[] weights)

Computes the weighted min-max aggregate fitness of the solution. One weight should be given for each objective; if fewer weights are provided, the last weight is repeated for the remaining objectives.

Parameters:

solution - the solution

weights - the weight vector

Returns:

the fitness, where smaller values are preferred