run_ga_selection: GA Optimization Function

In atfrank/nmR: Functions for the Analysis and Comparison of NMR Data

Description

This function runs GA optimizations

Usage

run_ga_selection(target, ensemble, cycles = 100, population_size = 100,
  seed = 12345, binary = TRUE, weights = 1, mask = NULL,
  monitor = FALSE, alpha = 10)

Arguments

target	Actual data (vector)
ensemble	Matrix of predicted data. Number of columns correspond to the number of ensemble members and rows the number sample points in the target data.
cycles	GA optimization cycles (integer)
population_size	GA population size (integer)
seed	Seed for random number generator
binary	Run binary selection mode?
weights	Weights used to individual data points
monitor	Print progress?
alpha	Coefficient to L1 regularization term

Author(s)

Aaron T. Frank

Examples

fitness(p)  

atfrank/nmR documentation built on May 10, 2019, 2:09 p.m.