evoluteCandidates: Pick candidates to reduce relatedness and maximize criterion

In rramadeu/SimpleMating: Simple mating allocation for small breeding programs

Pick candidates to reduce relatedness and maximize criterion

Description

Evolutionary algorithm to pick candidates for mating plan to reduce relatedness and maximize criterion

Usage

evoluteCandidates(
  criterion,
  K,
  n.candidates,
  step = c(5, 4, 3, 2, 1),
  n.steps = 200,
  n.try = 10000,
  n.burnIn = 10
)

Arguments

criterion	data frame with variable to maximize
K	relationship matrix
n.candidates	number of crosses in the mating plan
n.try	attempts to replace the current number of candidates (current step) to improve candidates list before moving for next phase
n.burnIn	attempts to initialize the chain
steps	numeric vector of steps in each evolution phase

Value

A list with final candidate list, and relationship and criterion evolution

Author(s)

Rodrigo R Amadeu, [e-mail]

rramadeu/SimpleMating documentation built on Jan. 30, 2023, 7:29 p.m.