Class NegativeCostFitnessFunction<T extends Copyable<T>>
 Type Parameters:
T
 The type of object under optimization.
 All Implemented Interfaces:
FitnessFunction<T>
,FitnessFunction.Double<T>
OptimizationProblem
or IntegerCostOptimizationProblem
.
However, the evolutionary algorithms in the library require a fitness function such that higher
fitness implies better solution. Furthermore, some selection operators further assume that
fitness values are positive, such as FitnessProportionalSelection
and StochasticUniversalSampling
.
This class transforms the cost of solution s to fitness with the following transformation:
fitness(s) = cost(s), where cost(s) refers to the OptimizationProblem.cost(T)
method.
Because this transformation produces negative fitness values, it is not compatible with all
selection operators. However, many of the selection operators in the library work even with
negative fitness values, such as any selection operator that uses only relative fitness values.
For example, TournamentSelection
and other selection operators that only care if one
fitness is higher or lower than another will work fine with negative fitness values.
Incompatible Selection Operators: The library does include some selection operators
that require positive fitness values. Thus, the NegativeIntegerCostFitnessFunction is
incompatible with such selection operators, which include the following: FitnessProportionalSelection
, StochasticUniversalSampling
, BiasedFitnessProportionalSelection
, and BiasedStochasticUniversalSampling
. The behavior
of these selection operators that select population members with probabilities that are
proportional to their fitness is undefined for negative fitnesses.

Nested Class Summary
Nested classes/interfaces inherited from interface org.cicirello.search.evo.FitnessFunction
FitnessFunction.Double<T extends Copyable<T>>, FitnessFunction.Integer<T extends Copyable<T>>

Constructor Summary
ConstructorDescriptionNegativeCostFitnessFunction
(OptimizationProblem<T> problem) Constructs a fitness function that transforms the cost of solution s to fitness with the following transformation: fitness(s) = cost(s). 
Method Summary
Modifier and TypeMethodDescriptiondouble
Computes the fitness of a candidate solution to a problem, for use by genetic algorithms and other evolutionary algorithms.Gets a reference to the problem that this fitness function is for.

Constructor Details

NegativeCostFitnessFunction
Constructs a fitness function that transforms the cost of solution s to fitness with the following transformation: fitness(s) = cost(s). Parameters:
problem
 The optimization problem.


Method Details

fitness
Description copied from interface:FitnessFunction.Double
Computes the fitness of a candidate solution to a problem, for use by genetic algorithms and other evolutionary algorithms. Specified by:
fitness
in interfaceFitnessFunction.Double<T extends Copyable<T>>
 Parameters:
candidate
 The solution whose fitness is to be evaluated. Returns:
 the fitness of candidate

getProblem
Description copied from interface:FitnessFunction
Gets a reference to the problem that this fitness function is for. Specified by:
getProblem
in interfaceFitnessFunction<T extends Copyable<T>>
 Returns:
 a reference to the problem.
