optimizer_CNE: Conventional Neural Evolution Optimizer

In dirkschumacher/armacmp: Translate R Linear Algebra Code to Armadillo C++

Description

Conventional Neural Evolution Optimizer

Usage

optimizer_CNE(
  populationSize = 500,
  maxGenerations = 5000,
  mutationProb = 0.1,
  mutationSize = 0.02,
  selectPercent = 0.2,
  tolerance = 1e-05
)

Arguments

populationSize	The number of candidates in the population. This should be at least 4 in size 500
maxGenerations	The maximum number of generations allowed for CNE 5000
mutationProb	Probability that a weight will get mutated 0.1
mutationSize	The range of mutation noise to be added. This range is between 0 and mutationSize 0.02
selectPercent	The percentage of candidates to select to become the the next generation 0.2
tolerance	The final value of the objective function for termination. If set to negative value, tolerance is not considered 1e-5

dirkschumacher/armacmp documentation built on Oct. 22, 2021, 7:10 p.m.