gena.constr: Constraints

In gena: Genetic Algorithm and Particle Swarm Optimization

Constraints

Description

Impose constraints on chromosomes.

Usage

gena.constr(population, method = "bounds", par, iter)

Arguments

population	numeric matrix which rows are chromosomes i.e. vectors of parameters values.
method	method used to impose constraints.
par	additional parameters to be passed depending on the method.
iter	iteration number of the genetic algorithm.

Details

If method = "bounds" then chromosomes will be bounded between par$lower and par$upper.

Value

The function returns a list with the following elements:

• population - matrix which rows are chromosomes after constraints have been imposed.

• constr.ind - matrix of logical values which (i, j)-th elements equals TRUE (FALSE otherwise) if j-th jene of i-th chromosome is a subject to constraint.

Examples

# Randomly initialize population
set.seed(123)
population <- gena.population(pop.n = 10,
                              lower = c(-5, -5), 
                              upper = c(5, 5))
                           
# Impose lower and upper bounds constraints
pop.constr <- gena.constr(population, 
                          method = "bounds",
                          par = list(lower = c(-1, 2),
                                     upper = c(1, 5)))
print(pop.constr)

gena documentation built on Aug. 15, 2022, 9:08 a.m.