R: Selection operators in GA-PARSIMONY

parsimony_Selection {GAparsimony}

R Documentation

Selection operators in GA-PARSIMONY

Description

Functions implementing selection genetic operator in GA-PARSIMONY after parsimony_rerank process. Linear-rank or Nonlinear-rank selection (Michalewicz (1996)).

Usage

parsimony_lrSelection(object, r = 2/(object@popSize*(object@popSize-1)), 
						q = 2/object@popSize, ...)
parsimony_nlrSelection(object, q = 0.25, ...)

Arguments

`object`	An object of class `"ga_parsimony"`, usually resulting from a call to function `ga_parsimony`.
`r`	A tuning parameter for the specific selection operator.
`q`	A tuning parameter for the specific selection operator.
`...`	Further arguments passed to or from other methods.

Value

Return a list with four elements:

`population`	a matrix of dimension `object@popSize` times the number of decision variables containing the selected individuals or strings;
`fitnessval`	a vector of length `object@popSize` containing the fitness validation values for the selected individuals;
`fitnesstst`	a vector of length `object@popSize` containing the fitness with the test database (if it was supplied), for the selected individuals;
`complexity`	a vector of length `object@popSize` containing the model complexity for the selected individuals.

Author(s)