R: Crossover operators in GA-PARSIMONY

parsimony_crossover {GAparsimony}

R Documentation

Crossover operators in GA-PARSIMONY

Description

Functions implementing particular crossover genetic operator for GA-PARSIMONY. Method uses for model parameters Heuristic Blending and random swapping for binary selected features.

Usage

parsimony_crossover(object, parents, alpha=0.1, perc_to_swap=0.5, ...)

Arguments

`object`	An object of class `"ga_parsimony"`, usually resulting from a call to function `ga_parsimony`.
`parents`	A two-rows matrix of values indexing the parents from the current population.
`alpha`	A tuning parameter for the Heuristic Blending outer bounds [Michalewicz, 1991]. Typical and default value is 0.1.
`perc_to_swap`	Percentage of features for swapping in the crossovering process.
`...`	Further arguments passed to or from other methods.

Value

Return a list with two elements:

`children`	Matrix of dimension 2 times the number of decision variables containing the generated offsprings;
`fitnessval`	Vector of length 2 containing the fitness validation values for the offsprings. A value `NA` is returned if an offspring is different (which is usually the case) from the two parents.
`fitnesstst`	Vector of length 2 containing the fitness with the test database (if it was supplied), for the offsprings. A value `NA` is returned if an offspring is different (which is usually the case) from the two parents.
`complexity`	Vector of length 2 containing the model complexity for the offsprings. A value `NA` is returned if an offspring is different (which is usually the case) from the two parents.

Author(s)