Uses of Interface
adams.opt.optimise.FitnessFunction

Packages that use FitnessFunction

Package	Description
adams.opt.optimise
adams.opt.optimise.genetic.fitnessfunctions

Uses of FitnessFunction in adams.opt.optimise

Classes in adams.opt.optimise that implement FitnessFunction

Modifier and Type	Class	Description
class	AbstractFitnessFunction	Abstract ancestor for fitness functions.

Fields in adams.opt.optimise declared as FitnessFunction

Modifier and Type	Field	Description
protected FitnessFunction	GeneticAlgorithm.GAJob.m_ff	fitness function.
protected FitnessFunction	GeneticAlgorithm.m_fitnessfn

Methods in adams.opt.optimise with parameters of type FitnessFunction

Modifier and Type	Method	Description
double	GeneticAlgorithm.calcNewFitness(FitnessFunction ff, int[] weights)	Calculates the new fitness.
void	AbstractOptimiser.checkBest(Double fitness, OptData vars, FitnessFunction ff)
void	GeneticAlgorithm.checkBest(Double fitness, OptData vars, FitnessFunction ff, int zerocount)
OptData	GridSearch.doGrid(OptData datadef, FitnessFunction fitness)	Calc for this grid.
OptData	SplitSearch.doGrid(OptData datadef, FitnessFunction fitness)	Calc for this grid.
abstract OptData	AbstractOptimiser.optimise(OptData datadef, FitnessFunction fitness)	Do the optimisation.
OptData	GeneticAlgorithm.optimise(OptData datadef, FitnessFunction fitness)
OptData	GridSearch.optimise(OptData datadef, FitnessFunction fitness)	Do grid Optimisation.
OptData	RandomOptimiser.optimise(OptData datadef, FitnessFunction fitness)	Do the optimisation.
OptData	RefineRange.optimise(OptData datadef, FitnessFunction fitness)	Do Optimisation.
OptData	SplitSearch.optimise(OptData datadef, FitnessFunction fitness)	Do grid Optimisation.

Constructors in adams.opt.optimise with parameters of type FitnessFunction

Constructor	Description
GAJob(GeneticAlgorithm ga, FitnessFunction ff, int[] weights)	Constructor.

Uses of FitnessFunction in adams.opt.optimise.genetic.fitnessfunctions

Classes in adams.opt.optimise.genetic.fitnessfunctions that implement FitnessFunction

Modifier and Type	Class	Description
class	AbstractWEKAFitnessFunction	Perform attribute selection using WEKA classification.
class	AttributeSelection	Perform attribute selection using WEKA classification.