Functions implementing selection genetic operator in GA-PARSIMONY after parsimony_rerank process. Linear-rank or Nonlinear-rank selection (Michalewicz (1996)).
parsimony_lrSelection(object, r = 2/(object@popSize*(object@popSize-1)),
q = 2/object@popSize, ...)
parsimony_nlrSelection(object, q = 0.25, ...)Return a list with four elements:
a matrix of dimension object@popSize times the number of decision variables containing the selected individuals or strings;
a vector of length object@popSize containing the fitness validation values for the selected individuals;
a vector of length object@popSize containing the fitness with the test database (if it was supplied), for the selected individuals;
a vector of length object@popSize containing the model complexity for the selected individuals.
An object of class "ga_parsimony", usually resulting from a call to function ga_parsimony.
A tuning parameter for the specific selection operator.
A tuning parameter for the specific selection operator.
Further arguments passed to or from other methods.
Francisco Javier Martinez de Pison. fjmartin@unirioja.es. EDMANS Group. https://edmans.webs.com/
ga_parsimony