parsimony_Selection: Selection operators in GA-PARSIMONY

In jpison/GAparsimony: Searching Parsimony Models with Genetic Algorithms

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)

Francisco Javier Martinez de Pison. [e-mail]. EDMANS Group. https://edmans.webs.com/

See Also

ga_parsimony

jpison/GAparsimony documentation built on April 18, 2023, 8:34 p.m.