seibert.gapo: Seibert GAP function optimisation

In paleolimbot/easyoptim: Easy Muti-Parameter Optimisation

Description

Seibert GAP function optimisation

Usage

seibert.gapo(.fun, ..., .objective = function(x) x, .validate = TRUE,
  .seed = NULL, .rescaler = c("rescale_none", "rescale", "squish"),
  .generations = 100, .pop = 50, .keepbest = TRUE,
  .breedargs = list(breed.use1 = 0.41, breed.use2 = 0.41, breed.rinterpolate =
  0.16, breed.mutate = 0.02), .progress = c("none", "text", "tk"),
  .output = c("best", "last", "all"))

Arguments

.fun	The function to be called
...	Arguments to be passed to .fun expressed as param objects.
.objective	An optional function to be called on the result of .fun to produce an objective value. If this is not passed, the result of .fun is used to maximize.
.validate	Pass FALSE to skip validation. May be faster.
.seed	Seed for random operations.
.rescaler	An optional rescaling method used to rescale the output of .objective.
.generations	The number of generations to evolve the population.
.pop	The population size to use.
.keepbest	Pass TRUE to discard the results of a next generation if no individuals have an improved objective value.
.breedargs	Passed to seibert.breed: default values for parameter breeding. These may be overridden by additional arguments to each parameter.
.progress	A plyr progress bar to use, or 'none'.
.output	Use to output the best parameters, the last generation, or all parameters.

Value

A data.frame with columns for each named parameter

paleolimbot/easyoptim documentation built on May 24, 2019, 6:12 p.m.