fitnessFunction: Function to sample items with a genetic algorithm maximizing...

In damiencrone/gasample: A Package For Sampling Stimuli For Psychological Research Using Genetic Algorithms

Description

Function to sample items with a genetic algorithm maximizing some measure of fitness (e.g., everage inter-item dissimilarity) as measured by an inter-item distance matrix.

Usage

fitnessFunction(x, sample_size, distance_mat,
  lower_tri_function = sumHeight, required_items = NULL)

Arguments

x	a binary vector of sampled items
sample_size	the number of items to sample
distance_mat	a population inter-item distance matrix
required_items	character vector of any items required to be included in the solution
lower_tri_funciton	the specific function to assess fitness of the lower triangle of the sample distance matrix

Value

a value representing the fitness of the current sample

damiencrone/gasample documentation built on May 20, 2019, 9:26 a.m.