stats

type AlgoBenchMean struct {
	Algo       string
	BenchMeans []BenchMean
}

type AlgoMeanVals struct {
	Title string
	// MeanVals of a particular bench func to compare.
	MeanVals []float64
}

type BenchMean struct {
	Bench  string
	Dimens int

	Iterations  int
	Generations int
	// Neighbours param is used in Hill Climbing type algos, set to -1 if not
	// applicable.
	Neighbours int
	// MeanVals holds the mean value for each step of the iteration.
	MeanVals []float64
}

type BenchRound struct {
	Iteration int
	Results   []float64
}

type FuncStats struct {
	BenchName    string
	BenchResults []BenchRound
	// MeanVals holds the mean value for each step of the iteration.
	MeanVals []float64
}

type MeanStats struct {
	AlgoMeans []AlgoBenchMean
}

type Stats struct {
	Algo           string
	Dimens         int
	BenchFuncStats []FuncStats
	Iterations     int
	// this should perhaps be named FES as that is a smarter thing to be
	// comparing than algo generations, which can vary based on the type of
	// algo, number of neighbours, etc..
	Generations int
	// NP is the initial population size, disable with 0. Only applicable to
	// GAs (see algo/de for more details).
	NP int
	// F is the mutation factor, disable with 0. Only applicable to GAs.
	F float64
	// CR is the crossover probability, disable with 0. Only applicable to GAs.
	CR float64
}