Uses of Class
adams.opt.optimise.OptData

Packages that use OptData

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

Uses of OptData in adams.opt.optimise

Fields in adams.opt.optimise declared as OptData

Modifier and Type	Field	Description
protected OptData	AbstractOptimiser.m_bestv	curr best vars .

Methods in adams.opt.optimise that return OptData

Modifier and Type	Method	Description
OptData	GridSearch.doGrid(OptData datadef, FitnessFunction fitness)	Calc for this grid.
OptData	SplitSearch.doGrid(OptData datadef, FitnessFunction fitness)	Calc for this grid.
OptData	OptData.getClone()	Copy this object.
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.

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

Modifier and Type	Method	Description
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.
double	FitnessFunction.evaluate(OptData opd)	Get fitness given vars.
void	AbstractFitnessFunction.newBest(double val, OptData opd)
void	FitnessFunction.newBest(double ff, OptData opd)	Callback.
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.
protected void	GridSearch.setMax(OptData datadef)	Initialise vars to their maximum.
protected void	SplitSearch.setMax(OptData datadef)	Initialise vars to their maximum.
protected void	GridSearch.setMin(OptData datadef)	Initialise vars to their minimum.
protected void	SplitSearch.setMin(OptData datadef)	Initialise vars to their minimum.
protected void	GridSearch.setStepSizes(OptData datadef, Hashtable<String,Double> stepsize)	set Set sizes for params.
protected void	SplitSearch.setStepSizes(OptData datadef, Hashtable<String,Double> stepsize)	set Set sizes for params.

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

Methods in adams.opt.optimise.genetic.fitnessfunctions that return OptData

Modifier and Type	Method	Description
OptData	AttributeSelection.getDataDef()

Methods in adams.opt.optimise.genetic.fitnessfunctions with parameters of type OptData

Modifier and Type	Method	Description
double	AttributeSelection.evaluate(OptData opd)
protected int[]	AttributeSelection.getWeights(OptData opd)
void	AttributeSelection.newBest(double val, OptData opd)	Callback for best measure so far