optimization.GA: Core optimization function for finding optimal weights.

In alineR: Alignment of Phonetic Sequences Using the 'ALINE' Algorithm

Description

Cognate pairs and their determined alignment generated in ALINE format is used to find a set of optimal parameters in terms of number of correctly aligned pairs. A genetic algorithm is executed. It is called in the optimize.features function and is the core function for the optimization part.

Usage

optimization.GA(Al, data, num, step = 5, plot = TRUE)

Arguments

Al	A 2*n matrix containing the correct alignment of the input
data	A 2*n matrix containing the pairs of words to be aligned
num	The size of initial population in the genetic algorithm
step	number of iterations for the genetic algorithm
plot	plot the convergence process of the algorithm

Value

R	a list, containing
performance	The number of correctly aligned pairs
optimized_parameters	a matrix containing all the optimal parameters after the optimization

See Also

optimize.features

Examples

data<-as.matrix(data.frame(dog=c('dog','perro'),cat=c('cat','gato'),rat=c('rat','rata')))
M<-generate.training(raw.data=data,search.size=100,table=FALSE)
alignment<-rbind(M[[2]][4,],M[[2]][5,])
optimization.GA(Al=alignment,data=data,num=5,step=3,plot=FALSE)

alineR documentation built on May 2, 2019, 11:26 a.m.