crtrp: Create a real-valued initial population
In drizztxx/gatbxr: Genetic Algorithm Toolbox Implemented by R

Description Usage Arguments Details Value Author(s) See Also Examples

This function creates a population of given size of random real-values.

1	crtrp(Nind,FieldDR)

`Nind`	a value containing the number of individuals in the new population.
`FieldDR`	a matrix of 2 rows by number of variables describing the boundaries of each variable.

The first step in a genetic algorithm is to create an initial population consisting of random individuals. crtrp produces a matrix, Chrom, containing uniformly distributed random values in its elements.

Chrom = crtrp(Nind, FieldDR) creates a random real-valued matrix of size Nind * Nvar, where Nind specifies the number of individuals in the population and Nvar the number of variables of each individual. Nvar is derived from FieldDR with Nvar = NCOL(FieldDR).

FieldDR is a matrix of size 2 * Nvar and contains the boundaries of each variable of an individual. The first row contains the lower bounds, the second row the upper bounds.

FieldDR is used in other functions mutate

a matrix containing the random valued individuals of the new population of size Nind by number of variables.

The original matlab implementation of crtrp was written by Hartmut Pohlheim and tested by Alex Shenfield. The R implementation was written by David Zhao.

mutbga, recdis, recint, reclin

## To create a random populatin of 6 individuals with 4 variables each:
## Define boundaries on the variables,
FieldDR = matrix(c(-100,-50,-30,-20,
                    100,50,30,20),2,4,byrow=TRUE)
## Create initial population
Chrom = crtrp(6,FieldDR)