math-optim/bench/bench.go
leo 2216b93426
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go(de): add Run(), unexport Evolve()
* use evolve()
* add a way to calculate GAMaxFES (MaxFES for Genetic Algorithms) in the
  bench package
2023-01-19 19:55:41 +01:00

61 lines
1.8 KiB
Go

// Copyright 2023 wanderer <a_mirre at utb dot cz>
// SPDX-License-Identifier: GPL-3.0-or-later
package bench
import "log"
type funcParams struct {
min float64
max float64
}
const (
// Neighbourhood is the number of neighbouring values that are to be
// generated as part of e.g. Stochastic Hill Climbing algo.
Neighbourhood = 10
// MaxNeighbourVariancePercent covers an arbitrary task requirement: pick
// neighbours from max n percent of search space.
MaxNeighbourVariancePercent = 10
// MaxFES is the maximum number of allowed function evaluations.
MaxFES = 10000
)
var (
// Dimensions to compute for (spatial complexity..?).
Dimensions = []int{5, 10, 20}
// SchwefelParams is a struct holding the min, max allowed value of inputs
// passed to the Schwefel function.
SchwefelParams = funcParams{min: -500.0, max: 500.0}
// DeJong1Params is a struct holding the min, max allowed value of inputs
// passed to the De Jong 1st function.
DeJong1Params = funcParams{min: -5.0, max: 5.0}
// DeJong2Params is a struct holding the min, max allowed value of inputs
// passed to the De Jong 2nd function.
DeJong2Params = funcParams{min: -5.0, max: 5.0}
// RastriginParams is a struct holding the min, max allowed value of inputs
// passed to the Rastrigin function.
RastriginParams = funcParams{min: -5.12, max: 5.12}
)
// Min returns the non-exported "min" field of a funcParams struct.
func (f *funcParams) Min() float64 {
return f.min
}
// Max returns the non-exported 'max' field of a funcParams struct.
func (f *funcParams) Max() float64 {
return f.max
}
// GetGAMaxFES calculates the value of MaxFES for Genetic Algorithms. This is
// an arbitrary specification where MaxFES is 5000xD.
func GetGAMaxFES(dim int) int {
if dim <= 0 {
log.Fatalln("dim has to be greater than 0, got:", dim)
}
return dim * 5000
}