parsimony_Population: Population initialization in GA-PARSIMONY with a combined...

In jpison/GAparsimony: Searching Parsimony Models with Genetic Algorithms

Population initialization in GA-PARSIMONY with a combined chromosome of model parameters and selected features

Description

Functions for creating an initial population to be used in the GA-PARSIMONY process.

Usage

parsimony_population(object, type_ini_pop="randomLHS", ...)

Arguments

object	An object of class "ga_parsimony", usually resulting from a call to function ga_parsimony.
type_ini_pop	How to create the initial population. 'random' optiom initialize a random population between the predefined ranges. Values 'randomLHS', 'geneticLHS', 'improvedLHS', 'maximinLHS' & 'optimumLHS' corresponds with several methods of the Latin Hypercube Sampling (see 'lhs' package for more details).
...	Further arguments passed to or from other methods.

Details

parsimony_population generates a random population of object@popSize individuals. For each individual a random chromosome is generated with object@nParams real values in the range [object@min_param, object@max_param] plus object@nFeatures random binary values for feature selection. 'random' or Latin Hypercube Sampling can be used to create a efficient spread initial population.

Value

Return a matrix of dimension object@popSize rows and object@nParams+object@nFeatures columns.

Author(s)

Francisco Javier Martinez de Pison. [e-mail]. EDMANS Group. https://edmans.webs.com/

See Also

ga_parsimony

jpison/GAparsimony documentation built on April 18, 2023, 8:34 p.m.