math-optim/bench/bench.go
surtur 6db4b60875
All checks were successful
continuous-integration/drone/push Build is passing
go(algo): use Dimensions slice from the bench pkg
2022-07-17 11:57:40 +02:00

46 lines
1.4 KiB
Go

// Copyright 2022 wanderer <a_mirre at utb dot cz>
// SPDX-License-Identifier: GPL-3.0-or-later
package bench
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}
)
// 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
}